{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "    <img src=\"https://github.com/GeostatsGuy/GeostatsPy/blob/master/TCG_color_logo.png?raw=true\" width=\"220\" height=\"240\" />\n",
    "\n",
    "</p>\n",
    "\n",
    "## Machine Learning Introduction  \n",
    "\n",
    "### Making a Variety of Machine Learning Models in Python \n",
    "\n",
    "#### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "\n",
    "##### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1) | [GeostatsPy](https://github.com/GeostatsGuy/GeostatsPy)\n",
    "\n",
    "### Multiple Machine Learning Models for Subsurface Modeling in Python \n",
    "\n",
    "Here's a simple workflow, demonstration of training multiple machine learning models with a single dataset.  \n",
    "\n",
    "* This is provided as a fast comparison of general behavoir of these models\n",
    "\n",
    "* There is no effort to tune the hyperparameters / test the models with withheld testing data\n",
    "\n",
    "* Given the 2 predictor features and 1 response feature it is easy to visualize the data and the model\n",
    "\n",
    "This provides an opportunity to run and visualize a variety of machine learning models for experiential learning.\n",
    "\n",
    "#### Machine Learning-based Prediction\n",
    "\n",
    "Predictive machine learning methods with supervised learning: \n",
    "\n",
    "**Prediction**\n",
    "\n",
    "* non-parametric method for regression and classification\n",
    "\n",
    "* a function $\\hat{f}$ of the nearest $k$ training data in predictor feature space such that we predict a response feature $Y$ from a set of predictor features $X_1,\\ldots,X_m$. \n",
    "\n",
    "* the prediction is of the form $\\hat{Y} = \\hat{f}(X_1,\\ldots,X_m)$ \n",
    "\n",
    "**Suppervised Learning**\n",
    "\n",
    "* the response feature label, $Y$, is available over the training and testing data\n",
    "\n",
    "#### The Machine Learning Models\n",
    "\n",
    "This workflow includes the following models:\n",
    "\n",
    "* linear regression\n",
    "* k-nearest neighbor regression\n",
    "* decision tree regression\n",
    "* random forest regression\n",
    "* tree-based gradient boosting regression  \n",
    "\n",
    "#### Getting Started\n",
    "\n",
    "Here's the steps to get setup in Python with the GeostatsPy package:\n",
    "\n",
    "1. Install Anaconda 3 on your machine (https://www.anaconda.com/download/). \n",
    "2. From Anaconda Navigator (within Anaconda3 group), go to the environment tab, click on base (root) green arrow and open a terminal. \n",
    "3. In the terminal type: pip install geostatspy. \n",
    "4. Open Jupyter and in the top block get started by copy and pasting the code block below from this Jupyter Notebook to start using the geostatspy functionality. \n",
    "\n",
    "If you want to work locally you will need to first copy the data file to your working directory. It is available here:\n",
    "\n",
    "* Tabular data - unconv_MV.csv found [here](https://github.com/GeostatsGuy/GeoDataSets/blob/master/unconv_MV.csv).\n",
    "\n",
    "You don't have to download the data if you want to load directly from my github account with the code below.\n",
    "\n",
    "#### Import Required Packages\n",
    "\n",
    "We will also need some standard packages. These should have been installed with Anaconda 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os                                                   # to set current working directory \n",
    "import math                                                 # basic calculations like square root\n",
    "from sklearn.neighbors import KNeighborsRegressor           # for nearest k neighbours\n",
    "from sklearn import metrics                                 # measures to check our models\n",
    "from sklearn.model_selection import cross_val_score         # cross validation methods\n",
    "import pandas as pd                                         # DataFrames and plotting\n",
    "import pandas.plotting as pd_plot\n",
    "import numpy as np                                          # arrays and matrix math\n",
    "import matplotlib.pyplot as plt                             # plotting\n",
    "from subprocess import check_call\n",
    "from sklearn.model_selection import train_test_split        # train and test split\n",
    "cmap = plt.cm.inferno                                       # the most awesome color map\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you get a package import error, you may have to first install some of these packages. This can usually be accomplished by opening up a command window on Windows and then typing 'python -m pip install [package-name]'. More assistance is available with the respective package docs.  \n",
    "\n",
    "#### Declare functions\n",
    "\n",
    "Let's define a couple of functions to streamline plotting correlation matrices and visualization of a decision tree regression model. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def visualize_model(model,xfeature,xtfeature,x_min,x_max,yfeature,ytfeature,y_min,y_max,response,tresponse,z_min,z_max,title,legend=True):# plots the data points and the decision tree prediction \n",
    "    n_classes = 10\n",
    "    cmap = plt.cm.RdYlBu\n",
    "    cmap = plt.cm.inferno\n",
    "    plot_step = 0.02\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, plot_step),\n",
    "                     np.arange(y_min, y_max, plot_step))\n",
    "    Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = np.clip(Z,z_min,z_max)\n",
    "    Z = Z.reshape(xx.shape)\n",
    "    cs = plt.contourf(xx, yy, Z, cmap=cmap,vmin=z_min, vmax=z_max, levels=np.linspace(z_min, z_max, 100))\n",
    "\n",
    "    im = plt.scatter(xfeature,yfeature,s=30, c=response, marker='o', cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.3, edgecolors=\"white\", label='train')\n",
    "    plt.scatter(xtfeature,ytfeature,s=50, c=tresponse, marker='*', cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.3, edgecolors=\"white\", label='test')\n",
    "\n",
    "    plt.title(title)\n",
    "    plt.xlabel(xfeature.name)\n",
    "    plt.ylabel(yfeature.name)\n",
    "    if legend == True:\n",
    "        cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "        cbar.set_label(response.name, rotation=270, labelpad=20)\n",
    "    plt.legend(loc='upper left')\n",
    "        \n",
    "def visualize_model_sub(ax,model,xfeature,x_min,x_max,yfeature,y_min,y_max,response,z_min,z_max,title,legend=True):# plots the data points and the decision tree prediction \n",
    "    n_classes = 10\n",
    "    cmap = plt.cm.RdYlBu\n",
    "    cmap = plt.cm.inferno\n",
    "    plot_step = 0.02\n",
    "    xx, yy = np.meshgrid(np.arange(x_min, x_max, plot_step),\n",
    "                     np.arange(y_min, y_max, plot_step))\n",
    "    Z = model.predict(np.c_[xx.ravel(), yy.ravel()])\n",
    "    Z = np.clip(Z,z_min,z_max)\n",
    "    Z = Z.reshape(xx.shape)\n",
    "    cs = ax.contourf(xx, yy, Z, cmap=cmap,vmin=z_min, vmax=z_max, levels=np.linspace(z_min, z_max, 100))\n",
    "\n",
    "    im = ax.scatter(xfeature,yfeature,s=None, c=response, marker=None, cmap=cmap, norm=None, vmin=z_min, vmax=z_max, alpha=0.8, linewidths=0.3, edgecolors=\"white\")\n",
    "    ax.set_title(title)\n",
    "    ax.set_xlabel(xfeature.name)\n",
    "    ax.set_ylabel(yfeature.name)\n",
    "    ax.set_xlim(x_min,x_max)\n",
    "    ax.set_ylim(y_min,y_max)\n",
    "    if legend == True:\n",
    "        cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "        cbar.set_label(response.name, rotation=270, labelpad=20)\n",
    "        \n",
    "def cross_validation_plot(model,X_train,X_test,vmin,vmax,feature,funits,model_name):\n",
    "\n",
    "    pred_train = model.predict(X_train); pred_test = linear_fit.predict(X_test)\n",
    "\n",
    "    plt.scatter(y_train['Prod'],pred_train,color='blue',edgecolor='black',s=15,label='train'); plt.plot([vmin,vmax],[vmin,vmax],color='black',ls='--'); plt.xlim([vmin,vmax]); plt.ylim([vmin,vmax])\n",
    "    plt.scatter(y_test['Prod'],pred_test,color='yellow',edgecolor='black',s=15,label='test'); \n",
    "    plt.xlabel('Predicted ' + feature + ' (' + funits + ')'); plt.ylabel('Actual ' + feature + ' (' + funits + ')'); plt.title(model_name + ' Regression Actual vs Predicted')\n",
    "    plt.legend(loc='upper left')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Set the working directory\n",
    "\n",
    "I always like to do this so I don't lose files and to simplify subsequent read and writes (avoid including the full address each time).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#os.chdir(\"c:/PGE383\")                                       # set the working directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You will have to update the part in quotes with your own working directory and the format is different on a Mac (e.g. \"~/PGE\").  \n",
    "\n",
    "#### Read the data table\n",
    "\n",
    "We use a data \"unconv_MV.csv\" comma delimited file from my GitHub [respository](https://github.com/GeostatsGuy/GeoDataSets).  \n",
    "\n",
    "* this code loads the data directly from my GitHub repository.\n",
    "* if you have the data file available locally (i.e. you are not connected to the internet) set the working directory to the location with the data file and use the second line below"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working with 200 data.\n"
     ]
    }
   ],
   "source": [
    "my_data = pd.read_csv(\"https://raw.githubusercontent.com/GeostatsGuy/GeoDataSets/master/unconv_MV.csv\")   # load the comma delimited data file\n",
    "#my_data = pd.read_csv(\"unconv_MV.csv\")                     # load the comma delimited data file locally\n",
    "my_data = my_data.sample(frac=0.2,replace=False)            # for ease of visualization reduce the number of data\n",
    "my_data = my_data.reset_index().iloc[:,1:]\n",
    "print('Working with ' + str(len(my_data)) + ' data.')\n",
    "my_data['Production'] = my_data['Production'] + np.random.normal(loc=0,scale=800,size=len(my_data)) # add random error to response feature to increase prediction difficulty"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualize the first several rows of our data stored in a DataFrame so we can make sure we successfully loaded the data file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>WellIndex</th>\n",
       "      <th>Por</th>\n",
       "      <th>LogPerm</th>\n",
       "      <th>AI</th>\n",
       "      <th>Brittle</th>\n",
       "      <th>TOC</th>\n",
       "      <th>VR</th>\n",
       "      <th>Production</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>677</td>\n",
       "      <td>15.78</td>\n",
       "      <td>1.09</td>\n",
       "      <td>2.34</td>\n",
       "      <td>41.26</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.53</td>\n",
       "      <td>3363.074812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>73</td>\n",
       "      <td>14.92</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2.80</td>\n",
       "      <td>49.06</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.78</td>\n",
       "      <td>1407.685842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>824</td>\n",
       "      <td>18.66</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.39</td>\n",
       "      <td>53.35</td>\n",
       "      <td>1.77</td>\n",
       "      <td>1.71</td>\n",
       "      <td>6658.502715</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   WellIndex    Por  LogPerm    AI  Brittle   TOC    VR   Production\n",
       "0        677  15.78     1.09  2.34    41.26  0.89  1.53  3363.074812\n",
       "1         73  14.92     1.83  2.80    49.06  1.00  1.78  1407.685842\n",
       "2        824  18.66     1.68  1.39    53.35  1.77  1.71  6658.502715"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_data.head(n=3)                                            # preview the first n rows of the dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's remove the well index and check the summary summary statistics."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Por</th>\n",
       "      <td>200.0</td>\n",
       "      <td>15.117500</td>\n",
       "      <td>3.066301</td>\n",
       "      <td>6.550000</td>\n",
       "      <td>12.960000</td>\n",
       "      <td>14.950000</td>\n",
       "      <td>17.390000</td>\n",
       "      <td>24.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LogPerm</th>\n",
       "      <td>200.0</td>\n",
       "      <td>1.432950</td>\n",
       "      <td>0.415428</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>1.147500</td>\n",
       "      <td>1.420000</td>\n",
       "      <td>1.682500</td>\n",
       "      <td>2.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>200.0</td>\n",
       "      <td>2.971000</td>\n",
       "      <td>0.601477</td>\n",
       "      <td>1.210000</td>\n",
       "      <td>2.565000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>4.630000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brittle</th>\n",
       "      <td>200.0</td>\n",
       "      <td>48.181750</td>\n",
       "      <td>13.965030</td>\n",
       "      <td>-10.500000</td>\n",
       "      <td>40.097500</td>\n",
       "      <td>49.050000</td>\n",
       "      <td>57.395000</td>\n",
       "      <td>89.510000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOC</th>\n",
       "      <td>200.0</td>\n",
       "      <td>1.005700</td>\n",
       "      <td>0.507384</td>\n",
       "      <td>-0.250000</td>\n",
       "      <td>0.667500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.312500</td>\n",
       "      <td>2.390000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VR</th>\n",
       "      <td>200.0</td>\n",
       "      <td>1.968150</td>\n",
       "      <td>0.307627</td>\n",
       "      <td>1.150000</td>\n",
       "      <td>1.767500</td>\n",
       "      <td>1.975000</td>\n",
       "      <td>2.160000</td>\n",
       "      <td>2.820000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Production</th>\n",
       "      <td>200.0</td>\n",
       "      <td>2292.016608</td>\n",
       "      <td>1835.310624</td>\n",
       "      <td>-1010.636718</td>\n",
       "      <td>957.398242</td>\n",
       "      <td>2005.821449</td>\n",
       "      <td>3060.354982</td>\n",
       "      <td>12088.740427</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            count         mean          std          min         25%  \\\n",
       "Por         200.0    15.117500     3.066301     6.550000   12.960000   \n",
       "LogPerm     200.0     1.432950     0.415428     0.120000    1.147500   \n",
       "AI          200.0     2.971000     0.601477     1.210000    2.565000   \n",
       "Brittle     200.0    48.181750    13.965030   -10.500000   40.097500   \n",
       "TOC         200.0     1.005700     0.507384    -0.250000    0.667500   \n",
       "VR          200.0     1.968150     0.307627     1.150000    1.767500   \n",
       "Production  200.0  2292.016608  1835.310624 -1010.636718  957.398242   \n",
       "\n",
       "                    50%          75%           max  \n",
       "Por           14.950000    17.390000     24.650000  \n",
       "LogPerm        1.420000     1.682500      2.580000  \n",
       "AI             3.000000     3.300000      4.630000  \n",
       "Brittle       49.050000    57.395000     89.510000  \n",
       "TOC            1.000000     1.312500      2.390000  \n",
       "VR             1.975000     2.160000      2.820000  \n",
       "Production  2005.821449  3060.354982  12088.740427  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_data = my_data.iloc[:,1:8]                               # copy all rows and columns 1 through 8, note 0 column is removed\n",
    "my_data.describe().transpose()                              # calculate summary statistics for the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is good that we checked the summary statistics, because we have some negative values for brittleness and total organic carbon. The is physically imposible.  The values must be in error. We know the lowest possible values are 0.0, so we will truncate on 0.0.  We use the *get_numerical_data()* DataFrame member function to get a shallow copy of the data from the DataFrame.  Since it is a shallow copy, any changes we make to the copy are made to the data in the original DataFrame.  This allows us to apply this simple conditional statement to all the data values in the DataFrame all at once."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Por</th>\n",
       "      <td>200.0</td>\n",
       "      <td>15.117500</td>\n",
       "      <td>3.066301</td>\n",
       "      <td>6.55</td>\n",
       "      <td>12.960000</td>\n",
       "      <td>14.950000</td>\n",
       "      <td>17.390000</td>\n",
       "      <td>24.650000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LogPerm</th>\n",
       "      <td>200.0</td>\n",
       "      <td>1.432950</td>\n",
       "      <td>0.415428</td>\n",
       "      <td>0.12</td>\n",
       "      <td>1.147500</td>\n",
       "      <td>1.420000</td>\n",
       "      <td>1.682500</td>\n",
       "      <td>2.580000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>200.0</td>\n",
       "      <td>2.971000</td>\n",
       "      <td>0.601477</td>\n",
       "      <td>1.21</td>\n",
       "      <td>2.565000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>4.630000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Brittle</th>\n",
       "      <td>200.0</td>\n",
       "      <td>48.234250</td>\n",
       "      <td>13.761569</td>\n",
       "      <td>0.00</td>\n",
       "      <td>40.097500</td>\n",
       "      <td>49.050000</td>\n",
       "      <td>57.395000</td>\n",
       "      <td>89.510000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TOC</th>\n",
       "      <td>200.0</td>\n",
       "      <td>1.009450</td>\n",
       "      <td>0.499066</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.667500</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.312500</td>\n",
       "      <td>2.390000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VR</th>\n",
       "      <td>200.0</td>\n",
       "      <td>1.968150</td>\n",
       "      <td>0.307627</td>\n",
       "      <td>1.15</td>\n",
       "      <td>1.767500</td>\n",
       "      <td>1.975000</td>\n",
       "      <td>2.160000</td>\n",
       "      <td>2.820000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Production</th>\n",
       "      <td>200.0</td>\n",
       "      <td>2314.621072</td>\n",
       "      <td>1802.491167</td>\n",
       "      <td>0.00</td>\n",
       "      <td>957.398242</td>\n",
       "      <td>2005.821449</td>\n",
       "      <td>3060.354982</td>\n",
       "      <td>12088.740427</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            count         mean          std   min         25%          50%  \\\n",
       "Por         200.0    15.117500     3.066301  6.55   12.960000    14.950000   \n",
       "LogPerm     200.0     1.432950     0.415428  0.12    1.147500     1.420000   \n",
       "AI          200.0     2.971000     0.601477  1.21    2.565000     3.000000   \n",
       "Brittle     200.0    48.234250    13.761569  0.00   40.097500    49.050000   \n",
       "TOC         200.0     1.009450     0.499066  0.00    0.667500     1.000000   \n",
       "VR          200.0     1.968150     0.307627  1.15    1.767500     1.975000   \n",
       "Production  200.0  2314.621072  1802.491167  0.00  957.398242  2005.821449   \n",
       "\n",
       "                    75%           max  \n",
       "Por           17.390000     24.650000  \n",
       "LogPerm        1.682500      2.580000  \n",
       "AI             3.300000      4.630000  \n",
       "Brittle       57.395000     89.510000  \n",
       "TOC            1.312500      2.390000  \n",
       "VR             2.160000      2.820000  \n",
       "Production  3060.354982  12088.740427  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num = my_data._get_numeric_data()                           # get the numerical values\n",
    "num[num < 0] = 0                                            # truncate negative values to 0.0\n",
    "my_data.describe().transpose()                              # calculate summary statistics for the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Standardizing Predictor Features\n",
    "\n",
    "The k-nearest neighbour etc. method uses a nearest training sample search in feature space (like k-means clustering). To remove the impact feature range from the approach we standardize the features.\n",
    "\n",
    "* we will standardize our predictor features to have a mean of zero and a variance of one.\n",
    "\n",
    "* we use the scikikt learn preprocessing to simplify this step and provid a reverse transform."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Por</th>\n",
       "      <th>LogPerm</th>\n",
       "      <th>AI</th>\n",
       "      <th>Brittle</th>\n",
       "      <th>TOC</th>\n",
       "      <th>VR</th>\n",
       "      <th>Production</th>\n",
       "      <th>sPor</th>\n",
       "      <th>sBrittle</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15.78</td>\n",
       "      <td>1.09</td>\n",
       "      <td>2.34</td>\n",
       "      <td>41.26</td>\n",
       "      <td>0.89</td>\n",
       "      <td>1.53</td>\n",
       "      <td>3363.074812</td>\n",
       "      <td>0.216601</td>\n",
       "      <td>-0.508064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>14.92</td>\n",
       "      <td>1.83</td>\n",
       "      <td>2.80</td>\n",
       "      <td>49.06</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1.78</td>\n",
       "      <td>1407.685842</td>\n",
       "      <td>-0.064571</td>\n",
       "      <td>0.060155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>18.66</td>\n",
       "      <td>1.68</td>\n",
       "      <td>1.39</td>\n",
       "      <td>53.35</td>\n",
       "      <td>1.77</td>\n",
       "      <td>1.71</td>\n",
       "      <td>6658.502715</td>\n",
       "      <td>1.158200</td>\n",
       "      <td>0.372675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>12.87</td>\n",
       "      <td>1.10</td>\n",
       "      <td>3.30</td>\n",
       "      <td>51.38</td>\n",
       "      <td>0.64</td>\n",
       "      <td>1.94</td>\n",
       "      <td>2950.492751</td>\n",
       "      <td>-0.734807</td>\n",
       "      <td>0.229163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13.01</td>\n",
       "      <td>1.28</td>\n",
       "      <td>2.38</td>\n",
       "      <td>50.41</td>\n",
       "      <td>0.48</td>\n",
       "      <td>1.55</td>\n",
       "      <td>875.885000</td>\n",
       "      <td>-0.689035</td>\n",
       "      <td>0.158500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Por  LogPerm    AI  Brittle   TOC    VR   Production      sPor  sBrittle\n",
       "0  15.78     1.09  2.34    41.26  0.89  1.53  3363.074812  0.216601 -0.508064\n",
       "1  14.92     1.83  2.80    49.06  1.00  1.78  1407.685842 -0.064571  0.060155\n",
       "2  18.66     1.68  1.39    53.35  1.77  1.71  6658.502715  1.158200  0.372675\n",
       "3  12.87     1.10  3.30    51.38  0.64  1.94  2950.492751 -0.734807  0.229163\n",
       "4  13.01     1.28  2.38    50.41  0.48  1.55   875.885000 -0.689035  0.158500"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "transform = StandardScaler(); \n",
    "\n",
    "features = ['Por','Brittle']\n",
    "\n",
    "my_data['sPor'] = transform.fit_transform(my_data.loc[:,features].values)[:,0] # standardize the data features to mean = 0, var = 1.0\n",
    "my_data['sBrittle'] = transform.fit_transform(my_data.loc[:,features].values)[:,1] # standardize the data features to mean = 0, var = 1.0\n",
    "my_data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's demonstrate the reverse transform from standarized back to the original units.\n",
    "\n",
    "* we won't need this in our workflow since the we only need to forward transform the predictor features to train the model and make predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[15.78, 41.26],\n",
       "       [14.92, 49.06],\n",
       "       [18.66, 53.35],\n",
       "       [12.87, 51.38],\n",
       "       [13.01, 50.41],\n",
       "       [11.12, 58.97],\n",
       "       [21.77, 41.63],\n",
       "       [15.32, 55.99],\n",
       "       [13.57, 58.1 ],\n",
       "       [11.78, 65.95],\n",
       "       [14.73, 67.42],\n",
       "       [15.7 , 66.75],\n",
       "       [12.83, 64.39],\n",
       "       [18.18, 45.48],\n",
       "       [12.23, 40.67],\n",
       "       [17.2 , 44.12],\n",
       "       [16.32, 46.78],\n",
       "       [13.51, 82.46],\n",
       "       [13.76, 52.36],\n",
       "       [12.35, 58.71],\n",
       "       [12.81, 53.75],\n",
       "       [14.52, 34.97],\n",
       "       [17.16, 49.83],\n",
       "       [12.62, 15.68],\n",
       "       [14.39, 26.95],\n",
       "       [16.95, 61.43],\n",
       "       [12.04, 41.66],\n",
       "       [15.57, 40.5 ],\n",
       "       [19.04, 36.45],\n",
       "       [11.54, 37.78],\n",
       "       [15.43, 54.6 ],\n",
       "       [13.45, 58.3 ],\n",
       "       [14.98, 40.79],\n",
       "       [13.8 , 46.08],\n",
       "       [20.52, 30.58],\n",
       "       [18.04, 57.53],\n",
       "       [17.78, 37.07],\n",
       "       [11.55, 51.68],\n",
       "       [17.18, 60.23],\n",
       "       [17.06, 52.98],\n",
       "       [14.  , 57.35],\n",
       "       [15.51, 42.08],\n",
       "       [17.72, 36.25],\n",
       "       [10.15, 40.51],\n",
       "       [16.4 , 27.17],\n",
       "       [18.07, 28.67],\n",
       "       [18.32, 57.18],\n",
       "       [ 8.77, 53.78],\n",
       "       [11.44, 66.54],\n",
       "       [12.98, 60.51],\n",
       "       [11.91, 47.38],\n",
       "       [13.5 , 47.55],\n",
       "       [16.76, 23.75],\n",
       "       [17.99, 44.32],\n",
       "       [13.72, 41.6 ],\n",
       "       [19.73, 49.91],\n",
       "       [14.83, 42.27],\n",
       "       [15.32, 50.51],\n",
       "       [20.73, 71.68],\n",
       "       [10.49, 52.31],\n",
       "       [17.51, 37.76],\n",
       "       [12.53, 55.54],\n",
       "       [14.89, 38.66],\n",
       "       [12.9 , 56.38],\n",
       "       [15.63, 56.59],\n",
       "       [18.93, 37.64],\n",
       "       [10.66, 68.09],\n",
       "       [13.72, 40.24],\n",
       "       [11.8 , 35.35],\n",
       "       [16.42, 40.28],\n",
       "       [17.88, 49.61],\n",
       "       [17.51, 65.64],\n",
       "       [14.88, 63.31],\n",
       "       [13.41, 61.06],\n",
       "       [18.18, 24.81],\n",
       "       [13.46, 34.31],\n",
       "       [15.58, 69.18],\n",
       "       [10.29, 41.11],\n",
       "       [10.14, 61.89],\n",
       "       [13.6 , 65.56],\n",
       "       [14.82, 43.1 ],\n",
       "       [13.61, 55.04],\n",
       "       [16.18, 45.79],\n",
       "       [14.85, 44.93],\n",
       "       [16.25, 39.06],\n",
       "       [12.16, 45.38],\n",
       "       [16.16, 41.04],\n",
       "       [ 9.9 , 89.51],\n",
       "       [16.18, 35.03],\n",
       "       [11.86, 65.22],\n",
       "       [11.32, 52.78],\n",
       "       [13.3 , 64.39],\n",
       "       [13.48, 26.23],\n",
       "       [14.9 , 37.08],\n",
       "       [15.49, 38.37],\n",
       "       [15.32, 41.65],\n",
       "       [14.87, 67.69],\n",
       "       [13.46, 56.59],\n",
       "       [17.65, 62.7 ],\n",
       "       [23.85,  0.  ],\n",
       "       [13.32, 57.86],\n",
       "       [18.25, 23.09],\n",
       "       [11.68, 43.81],\n",
       "       [14.63, 52.11],\n",
       "       [20.06, 48.17],\n",
       "       [17.75, 65.85],\n",
       "       [16.95, 17.4 ],\n",
       "       [11.38, 80.25],\n",
       "       [16.  , 54.15],\n",
       "       [18.78, 51.55],\n",
       "       [20.45, 63.67],\n",
       "       [15.79, 41.52],\n",
       "       [15.73, 31.9 ],\n",
       "       [11.35, 49.24],\n",
       "       [18.12, 59.13],\n",
       "       [13.79, 62.7 ],\n",
       "       [18.03, 59.24],\n",
       "       [19.49, 45.4 ],\n",
       "       [15.94, 31.6 ],\n",
       "       [17.06, 27.81],\n",
       "       [16.21, 39.67],\n",
       "       [14.71, 26.33],\n",
       "       [14.61, 34.97],\n",
       "       [13.71, 49.11],\n",
       "       [15.82, 48.74],\n",
       "       [13.43, 58.95],\n",
       "       [16.5 , 49.27],\n",
       "       [ 7.27, 54.56],\n",
       "       [13.97, 52.06],\n",
       "       [17.39, 56.25],\n",
       "       [20.51, 51.68],\n",
       "       [17.39, 51.15],\n",
       "       [12.13, 63.22],\n",
       "       [14.84, 20.53],\n",
       "       [14.2 , 44.54],\n",
       "       [12.59, 46.11],\n",
       "       [18.12, 69.68],\n",
       "       [17.83, 41.57],\n",
       "       [11.63, 49.04],\n",
       "       [13.92, 32.28],\n",
       "       [18.98, 46.4 ],\n",
       "       [18.7 , 71.17],\n",
       "       [15.72, 17.33],\n",
       "       [14.53, 53.6 ],\n",
       "       [16.72, 40.65],\n",
       "       [ 9.23, 69.48],\n",
       "       [12.12, 57.07],\n",
       "       [19.32, 32.14],\n",
       "       [ 9.2 , 62.92],\n",
       "       [14.02, 72.8 ],\n",
       "       [17.3 , 38.81],\n",
       "       [16.46, 47.48],\n",
       "       [14.9 , 70.09],\n",
       "       [10.25, 52.02],\n",
       "       [15.63, 40.83],\n",
       "       [18.36, 83.69],\n",
       "       [17.52, 40.74],\n",
       "       [17.92, 57.84],\n",
       "       [15.58, 43.25],\n",
       "       [13.93, 45.72],\n",
       "       [21.99, 46.89],\n",
       "       [16.57, 36.59],\n",
       "       [14.69, 25.28],\n",
       "       [12.31, 35.  ],\n",
       "       [12.07, 50.43],\n",
       "       [17.66, 59.14],\n",
       "       [12.89, 43.09],\n",
       "       [17.85, 59.16],\n",
       "       [17.21, 55.24],\n",
       "       [11.34, 58.03],\n",
       "       [14.19, 28.7 ],\n",
       "       [12.2 , 29.12],\n",
       "       [11.38, 45.25],\n",
       "       [11.21, 54.1 ],\n",
       "       [17.13, 26.11],\n",
       "       [11.  , 55.27],\n",
       "       [17.78, 43.15],\n",
       "       [17.39, 56.43],\n",
       "       [14.5 , 47.95],\n",
       "       [13.56, 42.96],\n",
       "       [17.62, 32.59],\n",
       "       [16.49, 53.66],\n",
       "       [21.89, 39.58],\n",
       "       [10.52, 39.33],\n",
       "       [15.73, 46.89],\n",
       "       [16.25, 56.55],\n",
       "       [24.65, 46.77],\n",
       "       [14.18, 55.69],\n",
       "       [21.91, 51.16],\n",
       "       [ 9.29, 63.86],\n",
       "       [16.62, 31.41],\n",
       "       [16.21, 59.83],\n",
       "       [14.63, 21.47],\n",
       "       [15.63, 38.13],\n",
       "       [18.8 , 51.96],\n",
       "       [10.14, 57.88],\n",
       "       [18.08, 53.56],\n",
       "       [11.78, 36.6 ],\n",
       "       [ 6.55, 56.69],\n",
       "       [17.98, 25.17]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "invfeatures = ['sPor','sBrittle']\n",
    "transform.inverse_transform(my_data.loc[:,invfeatures])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can compare the output above with the original porosity and brittleness. The reverse transform works! We will use it to return to the original feature units.\n",
    "\n",
    "#### Feature Ranges\n",
    "\n",
    "Let's set some ranges for plotting. Note for the standardized predictor features we will use -3.5 to 3.5 as the limits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "pormin = 5.0; pormax = 25.0                                 # set minumums and maximums for visualization \n",
    "brittlemin = 0.0; brittlemax = 100.0\n",
    "prodmin = 0.0; prodmax = 13000.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset has variables from 1,000 unconventional wells including well average porosity, log transform of permeability (to linearize the relationships with other variables), accoustic impedance (kg/m2s*10^6), brittness ratio (%), total organic carbon (%), vitrinite reflectance (%), and initial production 90 day average (MCFPD).  Note, the dataset is synthetic.\n",
    "\n",
    "#### Working with Only Two Predictor Features\n",
    "\n",
    "Let's simplify the problem to 2 predictor features, Porosity and Brittleness to predict Production rate.  We will also reduce the number of wells from 1,000 to 500.  By working with only 2 features, it is very easy to visualize the segmentation of the feature space (it is only 2D and can be shown compleltely on a single plot)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_data_subset = my_data.iloc[:,[7,8,6]]                    # extract just por, brittle and prod with 100 samples\n",
    "X_train, X_test, y_train, y_test = train_test_split(my_data_subset.iloc[:,[0,1]], my_data_subset.iloc[:,2], test_size=0.25, random_state=73073)\n",
    "y_train = pd.DataFrame({'Prod':y_train.values})\n",
    "y_test = pd.DataFrame({'Prod':y_test.values})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first check the univariate statistics of Porosity, Brittleness and Producton."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(231)\n",
    "plt.hist(X_train[\"sPor\"], alpha = 0.7, color = 'darkorange', edgecolor = 'black', bins=np.linspace(-3,3,20))\n",
    "plt.title('Porosity Training Data (%)'); plt.xlim(-3,3)\n",
    "\n",
    "plt.subplot(232)\n",
    "plt.hist(X_train[\"sBrittle\"], alpha = 0.7, color = 'darkorange', edgecolor = 'black', bins=np.linspace(-3,3,20))\n",
    "plt.title('Britteness Training Data (%)'); plt.xlim(-3,3)\n",
    "\n",
    "plt.subplot(233)\n",
    "plt.hist(y_train['Prod'], alpha = 0.7, color = 'darkorange', edgecolor = 'black', bins=np.linspace(0,12000,20))\n",
    "plt.title('Production Training Data (MCFPD)'); plt.xlim(prodmin,prodmax)\n",
    "\n",
    "plt.subplot(234)\n",
    "plt.hist(X_test[\"sPor\"], alpha = 0.7, color = 'darkorange', edgecolor = 'black', bins=np.linspace(-3,3,20))\n",
    "plt.title('Porosity Testing Data (%)'); plt.xlim(-3,3)\n",
    "\n",
    "plt.subplot(235)\n",
    "plt.hist(X_test[\"sBrittle\"], alpha = 0.7, color = 'darkorange', edgecolor = 'black', bins=np.linspace(-3,3,20))\n",
    "plt.title('Britteness Testing Data (%)'); plt.xlim(-3,3)\n",
    "\n",
    "plt.subplot(236)\n",
    "plt.hist(y_test['Prod'], alpha = 0.7, color = 'darkorange', edgecolor = 'black', bins=np.linspace(0,12000,20))\n",
    "plt.title('Production Testing Data (MCFPD)'); plt.xlim(prodmin,prodmax)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.0, top=3.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The distributions are well behaved, we cannot observe obvious gaps nor truncations.  Let's look at a scatter plot of Porosity vs. Brittleness with points colored by Production."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(121)\n",
    "im = plt.scatter(X_train[\"sPor\"],X_train[\"sBrittle\"],s=30, c=y_train['Prod'], marker='o', norm=None, vmin=prodmin, vmax=prodmax, alpha=0.8, linewidths=0.3, edgecolors=\"black\",cmap=cmap)\n",
    "plt.title('Training Production vs. Brittleness and Porosity'); plt.xlabel('Porosity (%)'); plt.ylabel('Brittleness (%)')\n",
    "plt.xlim(-3,3); plt.ylim(-3,3)\n",
    "cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "cbar.set_label(\"Production\", rotation=270, labelpad=20)\n",
    "\n",
    "plt.subplot(122)\n",
    "im = plt.scatter(X_test[\"sPor\"],X_test[\"sBrittle\"],s=50, c=y_test['Prod'], marker='*', norm=None, vmin=prodmin, vmax=prodmax, alpha=0.8, linewidths=0.3, edgecolors=\"black\",cmap=cmap)\n",
    "plt.title('Testing Production vs. Brittleness and Porosity'); plt.xlabel('Porosity (%)'); plt.ylabel('Brittleness (%)')\n",
    "plt.xlim(-3,3); plt.ylim(-3,3)\n",
    "cbar = plt.colorbar(im, orientation = 'vertical')\n",
    "cbar.set_label(\"Production\", rotation=270, labelpad=20)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This problem looks complicated and could not be modeled with simple linear regression.  It appears there is a sweet spot for Brittleness and increasing Porosity is always beneficial for Production.\n",
    "\n",
    "#### Play with a Variety of Machine Learning Models\n",
    "\n",
    "Let's try out several machine learning prediction models to predict production with the porosity and brittleness data.\n",
    "\n",
    "Here's our machine learning prediction model:\n",
    "\n",
    "\\begin{equation}\n",
    "production = f(porosity,brittleness) + \\epsilon\n",
    "\\end{equation}\n",
    "\n",
    "We will show use the following models:\n",
    "\n",
    "* multilinear regression [Lecture](https://www.youtube.com/watch?v=0fzbyhWiP84&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=21) \n",
    "* k-nearest nearbours [Lecture](https://www.youtube.com/watch?v=lzmeChSYvv8&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=30)\n",
    "* decision tree [Lecture](https://www.youtube.com/watch?v=JUGo1Pu3QT4&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=38)\n",
    "* random forest [Lecture](https://www.youtube.com/watch?v=m5_wk310fho&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=39)\n",
    "* gradient boosting [Lecture](https://www.youtube.com/watch?v=___T8_ixIwc&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=40)\n",
    "\n",
    "check out the links for lectures on my YouTube channel for each. \n",
    "\n",
    "* I have a lot of lectures available on machine learning in the Subsurface Machine Learning [Playlist](https://www.youtube.com/watch?v=5kBS5ThMHcU&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf) \n",
    "\n",
    "#### Instantiate, Fit and Predict with Linear Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a linear regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* there are no hyperparameters to try out with linear regression, standard linear regression does not have an option to tune model complexity / flexibility\n",
    "* changing the norm from L2 (not commonly done, but demonstrated [here](https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/Interactive_Norms.ipynb)) changes sensitivity to the training data\n",
    "* linear regression alternatives with hyperparamter tuning through regularization include:\n",
    "    * Ridge Regression [Lecture](https://www.youtube.com/watch?v=pMGO40yXZ5Y&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=22)\n",
    "    * LASSO [Lecture](https://www.youtube.com/watch?v=cVFYhlCCI_8&list=PLG19vXLQHvSC2ZKFIkgVpI9fCjkN38kwf&index=23)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "linear = LinearRegression()                                 # instantiate the prediction model\n",
    "linear_fit = linear.fit(X_train,y_train['Prod'])            # train the model with the training data\n",
    "\n",
    "plt.subplot(121)\n",
    "visualize_model(linear_fit,X_train[\"sPor\"],X_test[\"sPor\"],-4,4,X_train[\"sBrittle\"],X_test[\"sBrittle\"],-4,4,y_train[\"Prod\"],y_test[\"Prod\"],prodmin,prodmax,'Training Data and Linear Regression')\n",
    "\n",
    "plt.subplot(122)\n",
    "cross_validation_plot(linear_fit,X_train,X_test,prodmin,prodmax,'Production','MCFPD','Linear Regression')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with $k$ Nearest Neighbour\n",
    "\n",
    "Let's instantiate, fit and predict with a $k$ nearest neighbour model.\n",
    "\n",
    "* instantiate it with the hyperparameters, $k$ nearest neighbours \n",
    "\n",
    "* train with the training data, we use the standard fit function from scikit learn \n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* **k** - number of nearest training data to use for the estimate\n",
    "* **low k** - high model complexity / flexibility\n",
    "* **high k** - low model complexity / flexibility\n",
    "\n",
    "Just change this line of code below:\n",
    "\n",
    "```python\n",
    "k = 5                                                       # hyperparameter\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "k = 100                                                       # hyperparameter\n",
    "neigh = KNeighborsRegressor(weights = 'uniform', n_neighbors=k, p = 1) # instantiate the prediction model\n",
    "neigh_fit = neigh.fit(X_train,y_train['Prod'])              # train the model with the training data\n",
    "\n",
    "plt.subplot(121)\n",
    "visualize_model(neigh_fit,X_train[\"sPor\"],X_test[\"sPor\"],-4,4,X_train[\"sBrittle\"],X_test[\"sBrittle\"],-4,4,y_train[\"Prod\"],y_test[\"Prod\"],prodmin,prodmax,'Training Data and Linear Regression')\n",
    "\n",
    "plt.subplot(122)\n",
    "cross_validation_plot(neigh_fit,X_train,X_test,prodmin,prodmax,'Production','MCFPD','k-nearest Neighbours')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with Decision Tree Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a decision tree regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* **max_leaf_nodes** - maximum number of regions, terminal nodes, in the decision tree, low **max_lead_nodes** - low model complexity / flexibility\n",
    "* **min_samples_leaf** - minimum number of training data in a regions, terminal nodes, in the decision tree, low **min_samples_leaf** - high model complexity / flexibility\n",
    "* **max_depth** - maximum number of decision tree layers, low **max_depth** - low modelcomplexity / flexibility\n",
    "\n",
    "Just change these lines of code below:\n",
    "\n",
    "```python\n",
    "max_leaf_nodes = 20                                       # hyperparameters\n",
    "min_samples_leaf = 2\n",
    "max_depth = 10\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn import tree                                  # tree program from scikit learn (package for machine learning)\n",
    "\n",
    "max_leaf_nodes = 100                                       # hyperparameters\n",
    "min_samples_leaf = 2\n",
    "max_depth = 10\n",
    "\n",
    "tree = tree.DecisionTreeRegressor(max_leaf_nodes = max_leaf_nodes,min_samples_leaf = min_samples_leaf, max_depth = max_depth) # instantiate the prediction model\n",
    "tree_fit = tree.fit(X_train,y_train['Prod'])              # train the model with the training data\n",
    "\n",
    "plt.subplot(121)\n",
    "visualize_model(tree_fit,X_train[\"sPor\"],X_test[\"sPor\"],-4,4,X_train[\"sBrittle\"],X_test[\"sBrittle\"],-4,4,y_train[\"Prod\"],y_test[\"Prod\"],prodmin,prodmax,'Training Data and Linear Regression')\n",
    "\n",
    "plt.subplot(122)\n",
    "cross_validation_plot(tree_fit,X_train,X_test,prodmin,prodmax,'Production','MCFPD','Decision Tree')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with Tree-based Random Forest Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a random forest regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* **max_depth** - maximum number of decision tree layers, low **max_depth** - low model complexity / flexibility\n",
    "\n",
    "Other Model Hyperparameters:\n",
    "\n",
    "* **n_estimators** - the number of decision trees to average to make the ensemble estimate\n",
    "* **max_features** - number of features to randomly select for each decision, if 2 you will get tree bagging regression\n",
    "\n",
    "Just change these lines of code below:\n",
    "\n",
    "```python\n",
    "max_depth = 10                                            # hyperparameters\n",
    "n_estimators = 1000\n",
    "max_features = 2\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Ycx54F/gfEUkUq8OT8SKyzF79ZeAh+1qVhFXtsS1/ByaJ1TGK256usq9rUSJyt4gMMsZ4sa4/Afv4bhORCXaQX4ZVEtXadembIjJErE70vo11Xe8U+/5qPHA1VtOlOVjftxeBe+3z8hbwa7E6X3SLSLBAoRBIEbvzOdt+YLVYncsMBf41ZFmXv9u2N7GC5+9jXYOD5+wqEVlof6ergFrCn7POavU+qQN/aw26cA7/F/gvO/DG/oxvt5e9CtwmIktFJMo+FxpDoSehN3scq9FxMVbj37ev0H7vxmo3VwL8EKuRcl0b6w8XkUqsYG4XMBOr7cO79vJ3sPKehVX9oJamVRiCXYCXiMheuxrFv2BdPC4Bn8Cqntma7wHzsH74/4HVIUuHGGPewjrP72NVaXm/A5s9iRXgB6dnOro/e595wO1YgXYR1rn4d6z2BZ099o56HOsCMwvrIpwNbBerKvB7WCXfwfPxBNbTxmys7x208vkba5ym27AugKewvqtPY1VdBqvzniP29+PnWO0Xa7CelL6KdRE/BmzAqu7a3O/s+Rvt9Gux2goppVS32VXrfo/1oO0o8D9YHXkUYl3LtnQiuU9gtTO8iPVQ8vch+zmOVVvmF1i/kx/AGoakvgcOIyw77Q8Aq+x9/horQMlsZf0u/Z7bVXz/C9giVpXAazqYxf8GHrAfat6L9SD1KNa171Xs5h5YDz/fBQ4C+7CCGh9WoBfuOCqwHsB+DKuksIDGDurAqk6aa1//Po91zwNWz+bvYd3LbAN+bYxZR0s/xApkDmJ11rTXntdZnwL+aow5ZIwpCE5Y5/Y2uwDhk1gPWjOx2lr+q32MmVgB7Un7nA/HulYewGpv+C7WvVvwnHTru22MqcO6t7oRK9ANSsT6fC5h3d+VYH2u3dLWfZK9Sqt/a2F05hz+HOue610RqcC6B1por38Eq/PCF7FKJy8BOg4ljT1SKRWWiLwEZBpjLnuJqOpdxOqe/jDg0VJApZRSkWbX1PlfY8zodldWSl12WiKpmrCrKoy3q5esxHoq9HqEs6WuEBH5sFjjZCVjPcV9Q4NIpZRSkWBXs10t1tiCI7BKoF6LdL6UUhYNJFVzQ7G6aa7Equb4z8aYfRHNkbqSHsSq/pGDVXXonyObHaWUUgOYYDVhuYRVtfUYVrtEpVQvoFVblVJKKaWUUkp1ipZIKqWUUkoppZTqFFekM9AZDnEblyM60tno46xhg0w7PTS3t7zV7Yyh+fA8xn4vPT4EppWe1Vt3cE7TZyPB4+hIybuI4MCJA2eLdELT6nwuw+epuUDY+aH5Djv0ZsheHLiMCzo57KRTOv48qXnKbX2iThHcDoh29kRv4APH6driYmPMkJ5K75aVC0xJcVm30tizJ/sdY8zKHsqS6mVSU1PNmDFjIp0NpZRSvci5c+cYPHgwR44cafW+pE8Fki5HNKmx8yKdjT7NiTXsYZ2pbHM9n2lrxI/W+Y0Xf6DptgHjBcDR6SEX2+Z0WL15O0PSdYmnyTrB4/DbeWgzPXET7UgkjmTcJqrFcq90raf25mm1lk4tLT8TP435Dn52ofNCl0UTT6o/BWdI4OrvQPCb3ImHMy5HY9q+QKDJ++aS3A6GRMPUQdUdTl/B5449fbon0yspLmPH7ie6lYZLVqf2UHZULzRmzBh2794d6WwopZTqBerr67n//vvZs2cPn/3sZzly5Eir9yVatVUppfoxA5hAoFuTUkoppfq/0tJSVq5cyQsvvMCjjz7K9773vTbX71MlkkoppTrLoCO4KKWUUqotBQUF3HTTTRw/fpznn3+ee+65p91tNJBUSqn+zIAxWqqolFJKqdYlJyczbtw4fv7zn3P99dd3aJs+H0gOSorn4Uc+wehxw3BIT3fm0jsEjOH0yfP87EcvUlbadttGpZRSqru8Xi/5+fnU1tZGOiuXXXR0NBkZGbjdPduOXyml+oL169cza9YsBg8ezF//+tdObdvnA8mHH/kE8xbMwOWMatJ7Z39ijCFlcAoPP/IJvvv1pyKdHaVUn2II4I90JlQfk5+fT0JCAmPGjOm311awrq8lJSXk5+czduzYSGdHKaWuqOeee47Pfvaz3HfffTz1VOdjjD7f2c7occP6dRAJ1rAULmcUo8cNi3RWlFJ9kfF3b1IDTm1tLSkpKf362grW9TUlJWVAlLwqpVSQMYYf/OAHfPrTn2bZsmX893//d5fS6fMlkg6Rfn+hA3uMwwFwnEqpnmW0sx3VRQPh2goD5ziVUgqspgtf+MIXePrpp7n33nv57W9/S1RUy2HvOqLPl0gqpZRSSimllGpfaWkpa9as4Zvf/CbPPvtsl4NI0ECy28orynnp5Rc7vd0X/+UByivKL0OOlFIqlMEE/N2alLrSSktL+fWvf93p7VavXk1paWnPZ0gppfq4oqIifD4fQ4YM4cCBA/zgBz/odo2MARlI+nxe/D10c1RRUcHLr/4xzD7arkr2qyeeIjEhsUfyoJRSrTOAv5uTUldWa4Fke9fWN998k6SkpMuUK6WU6puOHTvGVVddxb/9278BMGjQoB5Jt8+3keyMQCDA2rUbef21d3BHubnzrttYvPhquhOLP/GL/yE/P4+7Pv5hXC4XnigPiYmJnMo9yd9ee5t//cqXKCw8T119HZ/4+L185J/uAmDVbTfw4vOvUl1TzZe+/ABz5szjwMF9pA1J5/HHfkV0dHTPHLRSamAzYLTDHNXHfOMb3yAnJ4c5c+bgdruJjo4mOTmZzMxMsrKy+NCHPkReXh61tbU89NBDPPDAAwCMGTOG3bt3U1lZyapVq1i6dClbt25lxIgR/PWvfyUmJibCR6aUUlfWpk2buP3224mKiuKTn/xkj6Y9oEok9+8/zJ/++Ddqa+uoKK/kd0//iewTOd1K81++/FUyMkby8h9f4+GH/p1jmUf52r/9B3977W0AvvedH/LHF/7Mi8+/yh//9DylpZdapHEm7zQfvesT/OWVv5OQkMja99/tVp6UUkqpK6mwsJDrrltNYmI61123msLCwm6l9+Mf/5jx48ezf/9+/vu//5u9e/fy85//nKysLAB+97vfsWfPHnbv3s0TTzxBSUlJizROnDjBF7/4RY4cOUJSUhJ//vOfu5UnpZTqa1555RVuuukm0tLS2LZtG/Pnz+/R9AdUIHn6dH6Lebm5Led1x4zpMxkxIqPh/Yt/+gN3fexD3Pvpj1FYUMCZvNMtthk+fARTJk8FYNrUaZw7d7ZH86SUGsgMBHzdm5Rqx5133se2bdOpqNjHtm3TufPO+3o0/auvvrrJOI9PPPEEs2fP5pprriEvL48TJ0602Gbs2LHMmTMHgPnz55Obm9ujeVJKqd6suLiY+++/nwULFrBly5bLMlbugKraOnRoWph5Q3p0H6HVZnbt3smOHdt47pk/EhMTw2ceuJe6uvoW24T2luRwOPH563o0T0qpgcxo1VZ12e3fvwef72lgOD7fw+zfP7dH04+Li2t4vX79et577z22bdtGbGwsy5cvDzsOpMfjaXjtdDqpqanp0TwppVRvZIxBREhNTWXt2rXMmjXrsjWZG1AlknPnzWTZ8kWANW7UrbfdwNRpk7qVZlxsLNVVVWGXVVZWkJiYSExMDKdOneTQoQPd2pdSSnWJ8XVvUqodc+bMx+X6GXAOl+tnzJnTvepTCQkJVFRUhF1WVlZGcnIysbGxZGZmsn379m7tSyml+ouamho+8pGP8OSTTwJWbY7L2e/KgCqRjPZ4+NSn7uTW227A4XAwODkZY0y30kxKSmb27HnccdcH8HiiSRmc0rBsyeJrefXPL/HhO25l9OixzJw5u7uHoJRSSvU6r7zyDHfeeR/7989lzpz5vPLKM91KLyUlhSVLljBjxgxiYmJIT09vWLZy5Ur+93//l6lTpzJ58mSuueaa7mZfKaX6vOLiYj74wQ+yfft2li1bdkX2OaACSQBjIGXwYPt194LIoB8/+tOw86OiovjVL54Ku+ytv68FIDk5mT+//EbD/E/de3+P5EkppQDrR0/HglSXWXp6Ohs3vtmjab74Yvgxmj0eD2+99VbYZcF2kKmpqRw+fLhhfrDLe6WU6o9ycnJYtWoVeXl5vPLKK9xxxx1XZL8DLpBUSqmBxYC2kVRKKaX6pdLSUhYvXozP52Pt2rUsXrz4iu1bA0mllOrnRANJpZRSql9KSkri+9//PsuXL2fy5MlXdN8DqrMdpZRSSimllOrrfvOb37BhwwYAHnzwwSseRIIGkkop1b8F20h2Z1JKKaVUrxAIBHjkkUf4/Oc/z9NPPx3RvGjVVqWU6teMDuGhlFJK9QP19fXcf//9vPDCC3z+85/nF7/4RUTzoyWSSimlukVEficiF0TkcMi8/xaRTBE5KCKviUhSyLJHRCRbRI6LyC0h81fa87JF5Bsh88eKyA57/ksiEnXFDq6H6blSSinVFVVVVaxcuZIXXniBH/3oR/z617/G5YpsmaAGkt1UXlHOSy+H76K8PX948Tlqamp6OEdKKdWUGH+3pg54FljZbN4aYIYxZhaQBTwCICLTgI8B0+1tfi0iThFxAr8CVgHTgI/b6wL8BPiZMWYCcAn4THfOR4Q9i56rdpWWlvLrX/+6S9s+/vjjVFdX93COlFIqsmJiYhg5ciTPP/883/jGNxCRSGdpYAaSVVXV+Hw9U9WroqKCl1/9Y5e2feHF31NbW9sj+VBKqbCMgUCge1O7uzAbgYvN5r1rTEOd2u1Ahv36duBPxpg6Y8wpIBu42p6yjTEnjTH1wJ+A28W6Ul4PvGpv/xzwoW6dkwjSc9UxGkgqpZTlwIED5Obm4nA4eO6557jnnnsinaUGA7KNZHbWGeLjYxg/cXS303riF/9Dfn4ed338w1yzcDGDBw/m3TVv462vZ8WKG/nC579MTU01//71h7lwoRB/wM8Dn/1nSkpKKCoq4nMPfoqkpGSefuq5HjgypZRqqQeG/0gVkd0h758yxjzVie3vB16yX4/ACpaC8u15AHnN5i8EUoDSkEArdP3+6IqcKxF5AHgAYNSoUT2S8Z70jW98g5ycHObMmcNNN91EWloaL7/8MnV1dXz4wx/me9/7HlVVVdx1113k5+fj9/v51re+RWFhIefOnWPFihWkpqaybt26SB+KUkp12Zo1a7jjjjtYuHAha9asiXR2WhgwgaSIcDInj7LSCrZv2U9sXAwVFdWkpCYxavRwjDFdSvdfvvxVsnNO8PIfX2Prti28t/YdXvj9yxhjeOjhL7Bn7y4uXbrEkCFp/PKJ3wBWKWZCQgLPv/Asv/3NcyQnJ/fkoSqlVE8rNsYs6MqGIvKfgA94oWez1P9cyXNlPwh4CmDBggVduwCGKCws5L777mTPnv3Mnz+HZ555hfT09C6n9+Mf/5jDhw+zf/9+3n33XV599VV27tyJMYYPfvCDbNy4kaKiIoYPH84//vEPAMrKyhg0aBCPPfYY69atIzU1tbuHpZRSEfPss8/yuc99jqlTp/LMM89EOjthDZiqrcYYhqQN5sjhExw6mMWObQc4feosQ9IGdzmIbG779i1s276Fj37in/jY3XeQm3uKM2dOM3HCRLbv2MrjT/yUvft2k5CQ0CP7U0qp9kVu+A8R+TRwG3C3afyhPQuMDFktw57X2vwSIElEXM3m9yt9/Vzdd9+dTJ++jX37Kpg+fRv33Xdnj6X97rvv8u677zJ37lzmzZtHZmYmJ06cYObMmaxZs4avf/3rbNq0iUGDBvXYPpVSKlKMMfzgBz/gvvvuY9myZWzatImMjIz2N4yAAVMiCRAfH8vsOVPYt/sYPp+PWXOnEB3t6bH0jTF85r4H+MgdH22x7E8v/JnNWzbyq1//nKuvuoYHH/hij+1XKaVaZYjIWJAishL4GrDMGBPaYO1vwIsi8hgwHJgI7AQEmCgiY7GCn48BnzDGGBFZB3wEqy3gp4C/Xrkjufz6w7nas2c/Tz/tY/hwePhhH3Pn7u+xtI0xPPLIIzz44IMtlu3du5c333yTb37zm9xwww18+9vf7rH9KqVUJNTW1vL6669z77338tvf/paoqN7b+faACiRFBJ/Pz39+9/PU1XspKbrU7TTjYmOprqoCYNGipfz6ySdYveo2YmPjKLxQiNvlwuf3MyhxELeu/iAJ8Qn85fU/29vGUV1dpVVblVKXjWAQ036HOd3ah8gfgeVYbSnzge9g9TzqAdbYPcttN8Z83hhzREReBo5iVeP8ojFWI04R+RLwDuAEfmeMOWLv4uvAn0Tkh8A+4P8u6wFdRv31XM2fP4ef/WwbDz/s42c/czF//pxupZeQkEBFRQUAt9xyC9/61re4++67iY+P5+zZs7jdbnw+H4MHD+aee+4hKSmpYWDu4LZatVUp1ZdUVlYCEB8fz/vvv09iYmKv6Jm1LQMqkESEmbMn4XQ6AUgbMhiHw0GgA70StiYpKZnZs+dxx10fYMni61i18lbu/fTHAYiNjeW/fvD/yMs7w89+/t+Iw4HL5eI/H/kOAHf801184cufY0hqmna2o5Tqs4wxHw8zu9UAxhjzX8B/hZn/JvBmmPknsXoq7fP667l65plXuO++O5k7t7GNZHekpKSwZMkSZsyYwapVq/jEJz7BokWLAOsm6w9/+APZ2dn8+7//Ow6HA7fbzZNPPgnAAw88wMqVKxk+fLh2tqOU6hMKCgq49dZbycjI4PXXX+8zVfUHVCBpAoGGIBLA4exeEBn040d/2uT93Z+4t8n7kSNHsXjx0hbbffxj9/Dxj/WeLnyVUv1UBKq2qoElPT2dN9/c2KNpvvhi0zGaH3rooSbvx48fzy233NJiuy9/+ct8+ctf7tG8KKXU5XLs2DFWrVpFUVERP/jBD3p9KWSoARVIKqXUwGPgMldtVUoppVTnbdq0idtvvx23282GDRtYsKBLHaRHjAaSSinVnxmgB2peKKWUUqrn1NXVcc8995CWlsZbb73F2LFjI52lTuvzgWTAGIwxfaoYuCuMMQR6aJgSpZRSqj0D4doK9NgQYEop1RHB3xyPx8Mbb7zBiBEjSElJiXCuuqbPjyN5+uR5fP76fn0hMMbg89dz+uT5SGdFKdXnGCTg79akBp7o6GhKSkr69bUVrOtrSUkJ0dHRkc6KUmoA8Pv9PPTQQ/zHf/wHALNmzeqzQST0gxLJn/3oRR5+5BOMHjcMRz99chowhtMnz/OzH73Y/so9ICU1icKiwiuyL6XUFaBtJFUnZWRkkJ+fT1FRUaSzctlFR0f32sG+lVL9R01NDXfffTevvfYaDz/8cL+o9dHnA8my0kq++/WnIp2NfiMtbTA3rVrKc892r+t2pVQvYYyWKqpOc7vdfbK9jlJK9UbFxcV88IMfZPv27Tz++OMteqHuqyIWSIpINLARaxBmF/CqMeY7kcqPskyYPIYTx3Nxu114vb5IZ0cppZRSSqk+y+fzsWLFCrKzs3nllVe44447Ip2lHhPJEsk64HpjTKWIuIHNIvKWMWZ7BPM0IMXFx3L/A3ewd/cRLpaUcTI7j0WL5jNs+BDKyit4+80Nkc6iUqo7tGqrUkopFREul4tvfetbZGRksHjx4khnp0dFLJA0Vgv+Svut2576d6v+XqqqspqnfvUSK25cyJ6dR6irq6e0tILiixc5evhEpLOnlOoWg+jwH0oppdQV9cYbb1BdXc1HP/pR7rrrrkhn57KIaK+tIuIUkf3ABWCNMWZHmHUeEJHdIrI7YLxXPI8DRV1dPWVllbjcTmbOnkx8fCxZmacinS2lVHcFx5HszqSUUkqpDnvyySf50Ic+xC9/+UsC/fg6GtFA0hjjN8bMATKAq0VkRph1njLGLDDGLHCI+4rncSAZN34kM2dPpvB8EWlDU5g7b1qks6SUUkoppVSfEAgEeOSRR/jCF77A6tWrefvtt3E4+vxoi63qFb22GmNKRWQdsBI4HOn8DFTr3tvOubMXAPjb62tIS+u749oopUJoG0mllFLqsgoEAtx777288MILfP7zn+cXv/gFLlevCLUum4iFyCIyRESS7NcxwE1AZqTyo2gIIsH6Yygo6P/jhynV/xnEBLo1KaWUUqptDoeDESNG8KMf/Yhf//rX/T6IhMiWSA4DnhMRJ1ZA+7Ix5u8RzI9SSvU/wTaSSimllOpxeXl5lJSUMGfOHH7yk59EOjtXVCR7bT0IzI3U/pVSSimllFKqqw4cOMDq1atJSEjgyJEjOJ3OSGfpiuq/rT+VUkoBxmoj2Z1JKaWUUk2sWbOGa6+9FofDwSuvvDLggkjQQFIppfo/Hf5DKaWU6jHPPfccq1evZuzYsWzbto2ZM2dGOksRoYGkUkoppZRSSnWAMYaXX36ZZcuWsXHjRjIyMiKdpYjp/90JKaXUgGa0eqpSSinVTT6fj/LycgYPHszLL7+M2+0mKioq0tmKKA0klVKqP9NeW5VSSqluqays5K677uLChQts27aNuLi4SGepV9BAUiml+ruAiXQOlFJKqT6poKCAW2+9lQMHDvDkk0/idrsjnaVeQwNJpZRSSimllGomMzOTVatWceHCBf72t7+xevXqSGepV9FAUiml+jVtI6mUUkp1ljGG+++/n+rqajZs2MCCBQsinaVeRwNJpfq4pOQEEuISuJhfE+msqN5I20gqpZRSnWKMQUR44YUXABg7dmyEc9Q76fAfSvVRTqeTa2+YxaA0B1WBQuYtH0nq8MRIZ0v1MgKICXRrUkoppQYCYwyPPfYYn/rUpzDGMHbsWA0i26CBpFJ91LyFk3n3vfc4dOgop3PzeOvdNSRP0QbgSimllFKd5ff7+dd//Ve++tWvUlNTg9frjXSWej2t2qr6DYfDYVXjGyB8/roWP3IXLp0nKjqB+lr98VNBRnttVUoppdpQU1PD3XffzWuvvcbDDz/MT3/6U+u+UrVJz5DqN+78+M3EJ8RGOhtXTJS75SC4CbEJeOt8EciN6rWCbSS7MymllFL92B133MHrr7/O448/zmOPPaZBZAfpWVL9gohw+nQ2U6aPinRWrpjc7EKuWXRVw/vhw9OJ8SVjjJY+qWZMoHuTUkop1Y/9+7//O6+88goPPfRQpLPSp2jVVtWn3XjTIrzeGsCwc89Wpk2ZxbyFYxg/YRxv/nU7ZRV1kc7iZVNYcBGvbxA3Xn8Txm+oL3NyYkcBTn0+pJRSSinVpp07d7Jr1y6++MUvsmLFikhnp0/SO07Vp72/dgeIi8yswxQXF7N5ywbcHidbNxyiqrI60tm77C4Wl7Fz81H2bssm++jZSGdH9VaBbk5KKaVUP/LGG2+wfPlyfvazn1FVVRXp7PRZGkiqPi0QCLB5/QHGjZ3AoEFJuFwufHVuzuYXRTprSvUOxmjVVqWUUsr25JNP8qEPfYjp06ezZcsW4uLiIp2lPkurtqo+b9z4kSQOSmD+nGUkJkYT5dYhMJRqQnttVUoppfjP//xPHn30UW699VZeeuklDSK7SQNJ1ed5PG727TpNSXEpLvGw5Lo5kc6SUkoppZTqZYYPH86DDz7IL3/5S1wuDYO6S8+gumzGjR9F+tBUDh08Snl5xWXbz7GjJ5u837Jx/2Xbl1J9kvbkq5RSaoAqLS3l6NGjLF68mC9+8YsYYxCRSGerX9A2kqrHiQg33bKYyuoSNmxcx9jxQ5k3b0aks6XUAKVtJJVSSg1MeXl5LF26lNtuu43y8nIADSJ7kAaSqsfNWzCD99etJy/vLMYYdu/ah9MN0dGeSGdNqYHHYLWR7M6klFJK9TEHDhzgmmuuIS8vj1dffZXExMRIZ6nf0UBS9Ti320F1ddOhN05kZTNq9IgI5UgppZRSSg0Ua9as4dprr8XhcLB582auv/76SGepX9JAUvU4YwR3s55Tx4wdxbmzhRHKkVIDnOnmpJRSSvUhf/nLXxg7dizbtm1j5syZkc5Ov6WBpOpxe3cfYdXKm4mPt7pUHj9+LDHR8VRW6oCvSkWEVm1VSinVzxljKCqyxhF/4okn2LRpExkZGRHOVf+mgaTqcV6vlzXvbGPGtDksv24F4GHb1r2RzpZSA5LRvnaUUkr1c16vlwceeICrr76aS5cu4Xa7tU3kFaDDf6jLIhAIsG/vEeu18UY4N0oppZRSqj+qrKzkrrvu4q233uKb3/wmSUlJkc7SgKGBpFJK9Xc6jqRSSql+qKCggFtvvZUDBw7w1FNP8bnPfS7SWRpQtGqrUkr1d4FuTu0Qkd+JyAURORwyb7CIrBGRE/b/yfZ8EZEnRCRbRA6KyLyQbT5lr39CRD4VMn++iByyt3lC+vAgYHqulFKq53zlK1/h+PHj/O1vf9MgMgI0kFRKKdVdzwIrm837BrDWGDMRWGu/B1gFTLSnB4AnwQqmgO8AC4Grge8EAyp7nc+FbNd8X33Js+i5UkqpbjF2TZtf/OIXbNq0idWrV0c4RwOTVm1VA4ZT3Pi70F4zykR1an2v1ONuY5tWl0k8fprmz42n5fZh5jlxExeIJ1rczdZ1tsyf8VvLxFoW7ezc8ySXXcDhk7a3i3aC22FwiVarjKgrMISHMWajiIxpNvt2YLn9+jlgPfB1e/7vjXUXsF1EkkRkmL3uGmPMRQARWQOsFJH1QKIxZrs9//fAh4C3Lt8RXT56rpRSqnteeeUVnnnmGV577TVSUlJISUmJdJYGLC2RVEqp/q7740imisjukOmBDuw13Rhz3n5dAKTbr0cAeSHr5dvz2pqfH2Z+f3LFz5WIPBD8PIPd5SulVG9mjOGxxx7jrrvuory8nJqamkhnacDTEkmlelhbpZFKRUSg283kio0xC7q6sTHGiGjRdEdcqXNljHkKeApgwYIF+tkopXo1v9/PV77yFZ544gk+8pGP8PzzzxMdHR3pbA14WiKp1GXW2aqxrXHibn8lpXqPQrsaJvb/F+z5Z4GRIetl2PPamp8RZn5/oudKKaXa8NBDD/HEE0/wla98hZdeekmDyF4iYoGkiIwUkXUiclREjojIQ5HKi1J9RUeDSXcveUbk1P4ie4fuV23tir8Bwd5EPwX8NWT+vXaPpNcAZXa1zneAm0Uk2e445mbgHXtZuYhcY/dAem9IWv2FniullGrD5z//eX75y1/yP//zPzgcveMeR0W2aqsP+KoxZq+IJAB7RGSNMeZoBPOkVJ+vmtpbgkjVSxh6omprm0Tkj1gdwKSKSD5Wj6I/Bl4Wkc8Ap4G77NXfBFYD2UA1cB+AMeaiiPwA2GWv9/1gZzLAF7B6O43B6jimz3Yeo+dKKaU6Jicnh5deeolHHnmEGTNmMGPGjEhnSTUTsUDSfnJ63n5dISLHsDoF0EBSKaV6kOnAWJDdSt+Yj7ey6IYw6xrgi62k8zvgd2Hm7wb6xR2EniullGrfzp07ue222/D7/XzqU59ixIj+1sda/9Arii7srtDnAjvCLGvoWS7QhaEblFJKKaWUUn3DG2+8wfLly4mPj2fr1q0aRPZiEe+1VUTigT8D/2qMKW++PLRnuShnwoDuWa4nO1txScuxCH2mrsfSv1Kcoh3QKNUuo41VlVJK9X6//e1v+fznP8+8efP4+9//Tnp6evsbqYiJaCApIm6sIPIFY8xfOrCF9lzZTW48eAkfMLrE0xBMhgs0OyyknNsfqMNxmYK9zgSRwXWd4sYfgZLtKBNFvdS3u54TN34ub/7c4rys6atexogGkkoppfqEtLQ0brvtNl588UXi4uIinR3Vjkj22irA/wHHjDGPRSofSvV1rT1cuRyd7rhEA5K+yASkW5NSSil1udTX17Nu3ToAbr/9dl5//XUNIvuISLaRXAJ8ErheRPbb0+oI5kdhlUR2qzSyGafD0+R1RyellFJKKdW/lZaWsnLlSm6++WZOnToFgOhD6z4jkr22bgb0m6LCcjo8+AN9r82mUr2SVm1VSinVy+Tl5bFq1SqysrJ45plnGDt2bKSzpDop4p3tKHU5jR2XwdARg/F56/F4Ytm94whVNdr7rxpArsA4kkoppVRnHDhwgNWrV1NZWcnbb7/N9ddfH+ksqS7QQFL1W+lDU/HEGN5/36p3LyKsWnkz763ZFuGctS1chzuttYPUzqdURxgtkVRKKdWLvP322zgcDjZv3szMmTMjnR3VRb1iHEmlLocxE4ayb//BhvfGGLJP5pCWnhKR/ESZqA6v68TdbvAYutxtp93ZDnZaW98lEnbq6HraKY9SSimlmisuLgbga1/7GgcOHNAgso/TQFL1WybQctjR+vp63O6+X4oXLsh0cmWH9YiOi2L8/NGkjEi6ovtVnSWNQ4B0dVJKKaW6wRjDD37wAyZPnszJkycREQYPHhzpbKlu0kBS9VsXzl9iwsTxTeZNmTyZs/kFEcrRlTN0zOUtdR09cwQjpg0nc38efpeDWTdO1V7Weiujw38opZSKHK/XywMPPMC3v/1tbrvtNjIyMiKdJdVDtI2k6rdyT51j8oyRXL8iA5/fS3R0HAf35UQ6W1fEdR+Zz19+vhavN9DjabuiXLjioji8xTqX508WU3qhgvFzR5Kz90zL9R09nwfVSVqqqJRSKgIqKyu58847efvtt/nmN7/J97//fX3w3I9oIKn6tSOHsiOdhSaiTBT1Uh92mdtE4W22rDOd6bjcTtziYsTENNa+sotJ80ZxdN9pALz1vq5nupkhI5PJO17YZF5NZR1Oj/6cKKWUUqrRo48+ypo1a/jNb37DAw88EOnsqB6md36q13I6PJ3exiXht/GZxjEpnRI+OHOJpyFwa61jnOD81oLB0ECxvTTaSiecYIc6ocGmOySt1XctxlQFyM8p5HxuMVHRbq66cSrpGSn847ebMMbgpbF0MFxHOx3pJOdSYTlp44dQVlzZuJ3b2WJQWLdWnO89tERSKaXUFWSMQUT41re+xcqVK7nuuusinSV1Geit3gDkpvMB2kARGxfNrLkTSB2a1DDPaf/rTK+rndFT6f7thU2cO3EBn9cPQF11PZXF1fz9qY0Y07Ljoa6qrawjLs7DkIxkAKKi3Sy4cRonw1RrVb1EQLo3KaWUUh20adMmli1bRmlpKTExMRpE9mMaSKoBo7XSyqD5s2eydOoCio+VMSxpMNfeOLtT6V+uQLMz6mvq8db5uPqm6Xi9PnzenqvSGur41hwSYqOYs3QCk2dncPj9Y3jrLs++VPcYI92elFJKqY54+eWXuemmm7hw4QLl5eWRzo66zLRq6wCSPDiR6VMmcaHwIsdyjkc6O1dUMIh0iadJNdegmJhohnqGkbnjNA5cnMksoPRCBVNmj+HEgbwO7aMz1VS7sl2wSuu8peOpC1QQMAHiPYM4sPU0ps6BHz9j54yk6lI1B9dlMX3ROFJGJje0k2yRXkM118ZhQ3xhSi5bq+6al30BV05R6/kNgL/nCkKVUkop1UsZY3jsscf4t3/7N5YsWcJf//pXUlIiM263unI0kBwgFiyYgas+mqObz5A2fDC33nID77y7qaHKox9vhHPYfe2VOLZl8qRxnDnatAOZ8otVDJs6BD9+nDipl3qiTBTjp48gJjmKc6eLKcgvaTXN4PqtLWuueUc70Pi5BNtuzr5mHJt2rqOysgoAh8PJ6htXs2t9NlEmip1rjlBdUQvA3s1ZxCZEt9yPsaq+usUKIH12sOdqpeCpeXDpEmmYFy7wbGQl6AtoxYdI01JFpZRSl1MwiPzIRz7C888/T3R0y/sP1f/oHd4AEBsXjScQy/H9VsnUhXMXObw5l7nzpkY4Zz0rXElj6LLgFE7e2fOkj05uMi/K46LeZ1XX9ONHRFiyeiZ5RWfZumUvEu1n3tLJPXcAHeCXmoYgEiAQCFBZV9rwPhhEtvZeDVABR/cmpZRSqg0f+9jH+P73v89LL72kQeQAoncIA8Do0cPJO9G0tK2qooYYT+MfemeGmeiPSoov4RgSIDk9EQB3jJtZN0zk8N7GcSenzhnDps27KC66BMCp7LNcKitl0OC4VtMNV/LYXlVWP96GKXQegEOa/8maMPNaFyyNDMfXwWqobZdCKqWUUmogKC4u5lvf+hZ+v58RI0bwrW99C4dDQ4uBRD/tASA/r5CMcUOazIuOiaLe1z+qs4ZO4YQrhfQbb4vpzXVrqEq9yJil6QyZPYg339tMmb+MeqmnXupxxTmoqKzGiGmYcrLzGDYuBa/Uh52Ahu2DU6jm67ZXxbi2QsjIGNbwPiEhjihJ6NQ5UwOPMd2blFJKqVA5OTksXryYn/70pxw4cCDS2VERom0kB4CKiiqI8zNqwlDysgtJSIpjxpIxvP3uhoZ1OtpGUkRYfO3chptLt8vFlk178PlaL+nqS44cPQHjPeSfLG6xrKaqjoRBcVSUNVYtnTB5FKdPnr9i+cs6lM+EmVOYPGEaxvgRv4d9W3La31ANXEbbSCqllOo5u3bt4tZbb8Xv97N27VrmzZsX6SypCOljgaTpF53CdFV3qp9u3bqPERlpTFk6gsrKKt54e02LsQXbamMYtHDxbPbvyaSqqgYAl8vJ4qXz2Lh+V9j1/YG6sK+bczra7yjHH6jD6fA0pON0ulvkuSMd7vhN+O+Q33iZOGE80+ePDhtIHjtwiutumcuh/VlcKLjIxCmjiIuLpfzSlR0/8fihpr3IduR70VaV1lDtdbyj+iLRdo5KKaV6xJtvvsmdd95Jeno6b731FpMnX9m+IlTv0scCyYGtu0H0mfyznMk/C4QPGjsSSIoYKiurG957vT68Pm/Dtn7jbREwBkywfV/rAU9bQWZn1mt+DG0dUzCtjJHDmDJ1LD5fgAnjJpB9/DSJKTHU1dZjfA7q6+zqqAY2vL2XsZOGM2b8cPJyijiVmdlmfrxSjztMz63hemjtiK58BzoaRCqlOkZEMoCPAdcCw4Ea4DDwD+AtY0ygjc2VUqrPGjx4MFdddRUvvfQS6enpkc6OirA+FUgaTIeCHdW64DiK7Z3H1krtDAZo1mhKTKvrB4wXf6AepyOqIaAMp60gs608OruwXai4uFgmTxnN1KmT2LfnGO+8vZ66Gi9jx4xl5qwZFJ2pYt+GbKAx+DuVdY5TWR1LP1wQGTo/mKbbROGVepy42wwWmy8PlkaG7sdtN30OjhMZHOYjqK3AUksi+ymt2tpjROQZYATwd+AnwAUgGpgErAT+U0S+YYzZGLlcKqVUzwkEArz//vvceOONXHPNNaxbtw5pZYxpNbD0qUBSdV+bJXRtBHpB5ZXlpA8dTGHBRQASEuPw+hpL1/yBuiYBo9vtxi0OamtrcTrCB1VgBZzhgsnW5veUWXOm8M47a3n77fe4/fZbKSq8iD/gZ9GwIexYm0nx+QrctMz3rHkTiYn14HA4KCkuI+vo6S7nobVgM1RXqjW7cTQEk03mNwssVf+nHeb0qP8xxhwOM/8w8BcRiQJGXeE8KaXUZVFXV8f999/Piy++yMaNG7n22ms1iFQN+lQgaQhoiWQ3tdaGsHkQGa4KqdPhYd/ew8ydN51xE0cCUFdfy5YtLdtHOhwOli1fQFl5CT6/j5TBQ9i141iTMRCbCwaNzUsuWyvJdOIJWyoZLHXtKGMMxhjKyipIG5rChImjCfj9XCopB1r+WM5bOIXTJwooLakAYMToIUyeNprj3QgmlbpsDNpGsgeFBpEiMsSeVxSyvB7IjkDWlFKqR5WWlvJP//RPrFu3jkcffZSlS5dGOkuql+lbgaQJUO+vjHQ2+jS/wwrKvGHOoz/Qdrs9r98KAnfu2tHmdgHj5bolC1m77h3q6uoIVoVdecutbNu2l5Ejh3P6dD41NTUtShv9tJ0HpyOqYX9uu2AtNAiOdljjQDYPmEMDS6e4rQDU4eHY4VwWL17I1q07mDFjGiUlm4nxxJCckMqcBdHs2Xq8RR6iPVENQSTA2dNFXHXdtBbrBUsao0xUq2NHhiuNbK96a2ucaEmjUpebWI/ivwN8CWsILRERH/ALY8z3I5o5pZTqIXl5eaxatYqsrCyef/557rnnnkhnSfVCfSqQVN3X0U5t2k6j/Y5iAgFfkyASYPiIocyeOYfc3Hzmz11AnbeaXbv2AG23kWxeJbbF+5BtQ6uAhgZjoYGlz9Q1bFNdWU/5RT83Xn8DWcezGZaewZmj5ew9d46Y2PClt4FAy3qCxp4XbOvYXQkJsdxwyzUcOpTF4PQEAv4Anqhoju7LpbS0rNvpq4HDIDr8R896GFgCXGWMOQUgIuOAJ0XkYWPMzyKaO6WU6gGbN28mPz+ft99+m+uvvz7S2VG9VJ8KJA2mzQ5b+rPL2U6ws1pr6xgMMB3ixul0I0hDGDlixAhOZJ5l9+5DABQVXWTOnGkMSU2npORim+m2mo+Qc+LxRLFs6RKc3hhErCBy86a9LWqm+kxdi6qvp07mc+pkPmAFnPGSghM3NdXhg26X24mINAyfEuVxY6RZhzfNShqjQt53pHRyzoxp+CoNxulj88bdiHEgCDfdvITt7zbtKTaqoeTTRYyjWamkabtKo0ukSQc7rh5s9+B2gFPA5dAOLCNNA8ke9UngJmNMwxhBxpiTInIP8C6ggaRSqs8qKSkhJSWFj3/849x0002kpqZGOkuqF+tTgaQgvSqgGmjaC/SCy/2BeooulDFx0kROZJ3AYJg7Zx47tmXiifIQ5XGDMeTknGH59Ut446/vNKQRro1kRyxbuoS97+cgdvXOuIQYrl44k2079oZdv7PtKEPt3n6URdfPpLamHhHBHeVi28aDBCSA20R1qPOcUMFAMGFQLNfePJfz54pwGgfns4sZMXwoI64bild8bFq/m6ysU4wcMZTC/ItN0nDixIkDl6NZ4BhoP4gLFzz2VEDpFoNbA8nIMqCDUfQod2gQGWSMKRLRC5RSqu967rnn+PKXv8yaNWtYuHChBpGqXX0qkFR9R2ZmNhMnjuX6628iEPCRmJiCJyoKEaGiwmpfOHToEGJj3URHe6it7XqVWxGBehfGGESsBw5VFTV43NEt1g0XQLbWAVFramvq2fT+PhwOR0NHPRC+vWNUB+cBVJRVc3T/SYYOTWHfxuPExHuIqXIzdGoS2zbsQwCRYNDoxI+/3XaRLocDXxvBZPPAsydLJJ1aCKb6p7bqrne/XrtSSl1hxhh++MMf8u1vf5sbbriBKVOmRDpLqo/oU4HkQK7a2lOCJX4daefYXOg2oaWTraV14sQpjmdZAy6K7OYzn7mPl/74VwBiYqKZO28af/rTq1x99dXs2nEQCN9Dq4gwY+ZkjDEcOZzVELgBzJw9iZiYKMLGP+0EMuECyM4ElYGQAK2zpZCtyT1xntS0JJwuJyIOJi8Yzat/exNBEGDqxIkcevs0UbioF6s6K4ATB25xhh0H0uW0gkVfmCEgXNI0eHT1YOeebgc4HeAUHXsi4tqp4qw6ZbaIhHbpHPyCC9Z4kkop1Wd4vV6+8IUv8PTTT3Pvvffy29/+lqionrmnUf1fnwok1eXVXpAeWq24Qx3uhKRnjCEz8zhz508G48Drq+fv/3gTp9OJMQZ/oL5J1digIUNSmDN3Clu3bUFEuP7GJezfe4KSkkv4jZe4BKuabB1VxMbHUFtl7XN4xhBKLl7q1PF3h1fquxVMBksW/fiJT4xhwQ1TqK31khidwD996BaKiy8S747n2Na8hm2CQWSQG0eLEkVfSNAdLsgM1ZEg0h2yjjfQ9L3qrQS0jWSPMcZo98hKqX7j2Wef5emnn+ab3/wm3//+93WMSNUpGkgOINHRHq66ejY+n5eACbBj+178fn+Htw8Ghm21Uw0XjAaMFRju3LmLa6+7hrXvrW9YtnzFUjZvsoYTCRecTps+jjff/HvD+3/84w3uvfdT1Nf7uVBYRmHRefw+H2mpPm782DSoieN8fgklFy9x9MiVGcqtu6WRTpwNQWG9AAa2rjmMMYYhI5JITI4j71AxTqx2kdFhzn8wiHSJNAkIfYGWF4RgcBkMOmNCfgXaq46aNGwQSUPiyT14Fmc7t9PRTkO0I4Db0fHvmLo8tLOdniMi0cDngQnAQeB3xhhfZHOllFKdYzUHEj7zmc8wevRobr755khnSfVBGkgOEG63m+uWX8U//vEWxhjcUW5uvuUG3n5zfafT6mr14vr6eo4dPc6K66/D6/Xidrs5nnmC6GgPfneAmur6FunX1de0SCc3N5fqKh9RHg+HDlq9wHrmediz5xA5B0rbzENo+8hWO9uRePx4mwwl0hXBtpBttWMMBpDR4saNAy9uDrydRQLReI2fyvxqKvOrSRAP0U4nvkCAaGfLYsBgEJnarGKdP0ytUm+z4DI6JHvtlTBOnJRClEso9xi8AcHtaL3aaoIrQILbR3xU94ecUaoXeQ7wApuA1cB04KGI5kgppTohMzOTz372s/zxj39k5MiRGkSqLtNAcoCYO3ca7733fkP7wvr6eg4cOMS4caM5efJ0p9JqXiLZmcDy3LlCzp0rbDLv+uUr8Pl9bN68vSH9YJpuV5jSN3cUBw4c5Ibrr8ftduNyuRicnMrWTQdJdA7t1LEEucTD2PEZpA9PJuAzxEcPIudgIaUXKxv324mSx9AgsnkV1FDBto0x4sTlcOCygzyfMbjFgZcAbhxEO51EOwQcTqLtYkOf3UTT5WgcaiPW1TSwax40QtNSR7eDJsFguBLJxKGDSBufRsDnJ9oNpr6eKYvGEsBBeVEFRTkXwh5btDNAtNOPU3ttjSijvbb2tGnGmJkAIvJ/wM4I50cppTps06ZN3H777bjdboqLixk5cmSks6T6MA0kB4ik5ERcbifxrliMgcqqKs6fL2Dh1Qs7HUj2NKcjqsXQIsFgMj//AguvWciO7TsQERYtWkTeGSsQHZGRxg033ITf5ydjZBq73EehCzfMLvGQkppEbKKL9es24RAXgrB65c3sfK+y/QRszXtjDZZEOmks5vOHZDAYRLrtYTtcAti9rDa0dTSOhrEeg/OalxoG3weDySYcpkUw2dl2jZXFFQyfPJSq/EIunrto9SiSFMeQ2WM5f/Ai7lY60wmOH+nSqq0RZ9DGrD2o4cmZMcan7YmUUn3Fyy+/zL333suYMWN46623GDt2bKSzpPo4DSQHgNTUwURHRzNs6FBOnMjG4XCQmBDPzJkzOHTwWKfSCtc+MnRea6WTDmkaZE2bNoXbVt/Knt1HyMnKx+l0ccOym1mwcAZ/ee11Tpw4iUPcnDp5ltJLSSxfYVW7OHIoi9LSMhITEzhxPI+D+6x2kJOnjCE1JZWqIpg6fRxDUlII+A2OKDh85DhFF6z2haHDf4T20DpxyijWr98I0njDvWvvHiZNms3ZzBIA6qXzPd22VhrpbOPG3uVw4DeG2ddNRIzVFaTL7SR7Sw4Bf/hIua22jcESx3Clkx1JI+ALkLnhONNvmEblOes8Dpk1lmNrO/fdUZFj2vnsVacEe20F688zJqQXV2OMSYxc1pRSKrw///nPfPSjH2XJkiX89a9/JSUlJdJZUv2ABpIDwLTpk3jttTdZeM1cUlNTOF9QwKxZM7hQcJHq6pZtEFvTVic7ra0TMN6GIDJ0WeaxHEqKX+CqeQspulBq5XPmeP7v/57n0qWyJiWU5WXVbN9yoOG90xFFVWVdQxAJcDwz10pj9Gycvih2brSCHINhyY0zeP89u0MfvA0BZGhA6cDVJIgEq0pgc62NAdlcaLtItzjxGr89v2MlQ7OXTuTUntPU1ViBuSfKxbTF4zi2Kbsx4GuWVHsd5bTWnrFJVdc2hupw+L2MXDoNHA4cDmtYFhPuJCnVj2mvrUqpvuimm27i61//Ot/5zneIiYmJdHZUPxHRQFJEfgfcBlwwxsyIZF76s2DPrDu27yPaE03qkMHknMijrKy8ze1mzJhKUlICp07lcfbs+S7tO7S9Y3NFRSXUeesZP3EkAT/U1NRQVlrdoYA1qPm4j6NHZ7Br8xF71EVL9uFzTJowllPZ53DTuL7X3o8bD/nHL3HV/Lns2XMAQXAYJ4vmLeTgmrMNQWGM6fgPb5RxNQSNbhwN7R1DNfS06nAQ73TgcjS2e3Q7BV+tDwdWwOb3+nEYQ7wbEuzT4w1Jzu2weklNcDXdhzdMb52tFGridLQeSLpjokgclszh13YigQDjr59O+phkKvKKWz0H0U4/8W4vHreO/RpZOvxHTxKRfzLG/MV+nWyMuXLjDCmlVCfU1NTwX//1X/zHf/wHiYmJ/PjHP450llQ/E+mGM88CKyOch36vprqW5OQkAOrq6sjPP0dGxnDOny8Mu77D4eDW224k/2wuGzauJybWxZIlV3V5/w5xhw0OkwYNZvbs6dT6Kgg4q5kzZwbR0Z4W6zkdniZTUDCIdImnYQrXXCnK48ZfLy16YXXjaQgsLxaXE6iM5sbl17NsyVJuvWEVZ/aWttnjajhRxtWkOqtbnI1tG3E0mYCGtpHNx3B0ihUKB9tfiYDDIQ2d4wRLF92Oxg5z3GJwNpvcYSang7BTuO2DU6C2jiOvbkP8fjCGnLWH2wwiAVxicDv8OBwBnToxXQ6mm5Nq4pshr9dGLBdKKdWG4uJibrjhBh599FHWrtWfKnV5RLRE0hizUUTGRDIPA8HevYe4btk11NbWcKm0jJEjhpN5/ESr68+fP5u1a9dSVVUFwPHjx4mLiyUhIZ6KCqvzmdCqp83Hf2xtWfMOdYwxPPXUM9TU1OIQN8+cexmXM5oopxt/SCmm0w5C/cZrvbaDrmAgGRognjp2njnzJ3NgdxYA4hAmTh3F5rcO4iYKWimYcZso8nNKKMyuACDGVAOtt3FsT7AjnaBgMOmzx22ae91E/AGDQwSPy8Hp7Sdxhdyy11fXk5gaT1lxJQLEJsbgDPhb9Lga9ljCdLDTk0LbXLY1/IfrMgVFqpOMtpHsYdLKa6WU6hVycnJYtWoVeXl5vPrqq3zgAx+IdJZUP9Xr20iKyAPAAwDSydIh1Wjjhu14PB4SEwZx4vhWoGXAFyw19ERHU11V3bR66IkcJk+azaGDmS3Sbh4gdnRZdZUVZAb3W1VV0xA0OkNKMJtXX21YBzepQ5KYMXUyxgfihhP7znGxqIJrls3C7/PjcAt7Nh5v2DY4hIc3pOOc4Dy3iQrbBjJYRdVPoEUPrE4cLXpiDRXskdUXsHswFWHG0gkc2XmKuhovDiDK42LB0omc3tbY5vPM/jOMmj2SEVOG4gCcfj+nd53CKY1tGsNVGG0sqex4MNlWu8g2t2sjiFSqH4sRkblYj7Si7dcNf2zGmL0Ry5lSasDbs2cPq1atwu/3s3btWhYvXhzpLKl+rNcHksaYp4CnAJyOaNOZ9nOqKW99gNJL1bid8fgDTQeJdzgb2zL66gwJiYlUVFQ0LJ82dRonswtwO+N7LD/OZp+lSzx4pDF9vx0qBUscXeLB5XISCBgCgQCJnmSunjGXnWuPNmxz7S1z2fTufopzywCrp9UoE0UUrQe04YLHcCWRzYPE9t43ObaQYNIAdTVeu+oq+Or9eP0BK0C0k/AG4MyBPHwBq9prtNOa3CHtGP0hu3OKVT3V2lcwsHV0ajgUp5gOBYfB9H0BR5uljm5HAKcYXE4d/iOSDGDM5W/FICIPA5+1d3kIuA8YBvwJSAH2AJ80xtSLiAf4PTAfKAE+aozJtdN5BPgM4Af+xRjzzmXPfOcUAI+FeQ3WsV/f1YQH0DlUSl0mgwYNYuzYsfz+979n8uTJkc6O6ud6fSCp2hfabrBb29gxwf59x7nx5hvZtXs7BQUFzJgxA0/UIGqqrTaVzQPAcNVQO6J5SaNH4pt0hhP62hMdxYIlkymtLMXhcBAbHYuj1sO+jVlNSk73b81i8uzRZO7PbXPf4cZ89NMy4OloL6udEW7cuahoFwmp8ZQWdXzcykjTqqt9h7nMne2IyAjgX4BpxpgaEXkZ+BiwGviZMeZPIvK/WMHNk/b/l4wxE0TkY8BPgI+KyDR7u+nAcOA9EZlkjOk1TyOMMcsvR7oD6RwqpXre+++/z4oVK5gwYQLbt28Pe6+hVE+LdGc7qhcyxrDmnW2kpY5hxfKVlF30s3d3Fk5xhw0Ug/O7E0Q2f9/c/MWTeW/tZnZuP8j2rfvZsmU3YycOw+9rGszU1XqJ8XhadJLjtP+F09kOdbrK5bD+3Ly1XpJSrZJXh8NB2qhk0pNiSEuLZ95N04iKjWroRCeo+fugYFXXYCllaHDncgSadMzTuE34DnU6dgwaPKpWubCqfbqAWOA8Vuncq/by54AP2a9vt99jL79BrLue24E/GWPqjDGngGzg6iuT/Y4RkXtE5JNh5n9SRD7RzeQHxDlUSvWcQCDAI488wg033MAf/vAHIPwDa6Uuh0gP//FHYDmQKiL5wHeMMf8XyTypRlnHT4HdvLArpZ6taS9oDKemvqbJmIV1dfWcyjvDtPljObL7ZMP8OYsmcnBHTpfz1rxksnm7yPakjUxm2IRU6rxeot1RlOWUUnW+HJ+ddZfDQc6eM0yYP4px04eTPjwJ3/lLZL51ABG4cKKQKYsncXD9cXv9xgAyGBAGq7A6m8V+bjG4mgWEvuCykGCytbaTbofpUKDYfB+t0WqtvUj3m7OmisjukPdP2c0OrOSNOSsiPwXOADXAu1jVMEuNMcGvYT4wwn49Asizt/WJSBlW1c0RwPaQ/YRu01t8GbghzPy/ABuBF7uS6JU+h6H9D4waNaorWVZKRVhdXR33338/L774Ig8++CAf//jHI50lNcBEutdW/cZfYaE9oLZY1kPBYrhA0WfqOhRAhvbAGtpG0ulo+VX1+QLUVJYzf9kUAr4AzignBbkXqa8LbucM2/6x9X23LJnsTBAZFe0mbXwyW9YfBMCBsHj5DOovVuOr9TVZN3vPGQDSr5/IuX25DZVzjTGIv+m6QJPeWsXpwASalTK2kk2XI4AvoBUPBjbpiaqtxcaYBa3uQSQZqyRsLFAKvEL/HdrJbYxpUQfdGFMl0vVG/Ff6HIb2P7BgwQLtOUupPqa0tJQPf/jDrF+/nkcffZRvfOMbWhKprrg+1kZSerRkrL8IV6W0vaCtM6WCoUFga0Fi0Lx506mr83H8aG6n9ufEbY3rGNKrajCodJsoHHVuUlKSKSm5hMEwemwGVcU+Th4/R/bxs6z68GLWvLEDtzeqoaOcevHZaTtD5rXcd2jHOvXia7eqa3BYD2+zJkcT54xk95amvdru2nqMZQtmkLnjdNi0jKNlkCdizRsyLpW4tCSiPE5GZAyi6lwJaWNSiHUZqmv8eI1wIauQ84fz2syvGuCuzPAfNwKnjDFFACLyF2AJkCQiLrtELQM4a69/FhgJ5NvVOAdhdRgTnB8Uuk1vESMiccaYqtCZIpIAbfTq1b6BdA6VUt104MABdu7cyfPPP88999wT6eyoAapPBZIi0ql2eANFV6qKdiX91vYTOj861kVsfHTYksWg0GVBbjwMik9k/ozpVFXVknnwNHVYAWqUiSJzWz5T50/DMS0AYrh4oZKTR881ljjWwrRZYzm9u7AhzSjjol6aBoqtjQsZHMYjuDy0JDJ0PMgmeQ7Ot5/lG2MQaTbInAjGgEtoqN4a5BIovlBFytghXDxVBEDaxHRKCssZMi6VepzkbDzBtbfNYNcru0gaHENlUQV4ojh/JB+MITEjhVHzxnDhwCmrKmmzqqk+vzNMddXwJZQuR6BD1VY73murH7fDr9VbB4YzwDUiEotVLfMGYDewDvgIVq+jnwL+aq//N/v9Nnv5+8YYIyJ/A14UkcewOoqZCOy8kgfSAf8HvCoinzfGnAawx0P+lb2sqwbSOVRKddHFixcZPHgwy5YtIzc3lyFDhkQ6S2oA61OBpOo+l3ialCC2tR40lja2FaxOnDKK4SMHU1lZw6WyizicTuYumsCgxARyswvJzTmHH2/YADJoytQxDI1NJ3NrLrEJ0Vy/aj7r1++hpqYxr0f35uKV+obAdPl1C3F4nUTHecjam8eEORmkrUghJt7DrvePUlPVuG3oWJDNBZc1HxMSwgeRbnt9b7N1cw+c4+ql09i67lDDvGuWTOPsjnNA02DSZUebuUfOMWJ8KmOumQBAQd4lik+XMHbRBPZtOMGIiWkUHDpDwB/A+APEpCSQuSWbmPgofFV1VJVUYkYNbnUsSJcYfM2qNfZUdVfteKfvMFzeEkljzA4ReRXYi9U0dx9Wtcl/AH8SkR/a84KB1v8Bz4tINnARq5dRjDFH7N5Kj9rpfLG39TZqjPmpiFQCG0UkHuvZUQXwY2PMk91Id8CcQ6VU16xZs4Y777yTZ599lg996EMaRKqI00BStdDZEs4TmWdITkmg4MJZMjOzAZgxYyrp6UOoqqhpd3sRISN1GIfWn8SBUFVew443DzNv2WS2bDzY6naH9+Vw7XXzOHXwLJVl1ezfmMUNH1lA9oH8JkFkZ4QLJjvKW+fjwvGLLFk2C6/Ph8fl5lJWGb76lm0eQxWeKqbsTDFuhzV+JEDAbgMZFROFr7xxPM/GtpGNgYHfZ/AaCdvzavMgEtA2kwOMNY7k5W83Y4z5DvCdZrNPEqbHUGNMLXBnK+n8F/BfPZ7BHmSM+V/gf+3qrBhjKtrZpKPpDphzqJTqnOeee47PfvazTJs2jQULWm2yrtQVpYGkasFn6hgxbDgTJo3C6/fidAr7dh6ntra+1W12bjnComUzyMo6idvt4pqFC1jz1jYGJSWybPY8Nq7bjWklnoqLj6GmtA6DIRggGWMwzeuCNlNZUYMzGuZeP56/P7ODQclxXDTnGTV1KNn785tUVe0p7tAqrzhalEoWnyuj+FxZw3KXCNF2Tzihh+MzjaWSvgDgtIJIf7CarM9PdHw0uYfPsujGyZzcfBzxuHG5nUQnxhCorcMR5cLrC+DyuKj1C+Cg1t+0BDVc0Nhar63ggI6UMnYwEPUGrsywKqp9VyKQHChE5Cth5jW8NsY8dkUzpJTq14wx/PCHP+Tb3/42N9xwA3/+858ZNGhQpLOlFKCBpAojcVA8o8cNY/OGPYB1k3TjysW89/a2VrcREZJS4lh9y0pGjBpCycUSii5coujCJU6fOsvV18xm1+ZjYbetqqwhJqllKai4wt/8ighRHjce4yZlRCzFZ8q44+GlXCqoIC/vDOUJVYxdPoipE6fwxm+3EeOJQhwO6mrqm1RxDb5uUX3VNM4LBoOhXA4HvoAVcLlwNgkuQ9d1ORy4JHReK9VPHVYAGdoza9bOXCYvnUC91+B1uVh837XkHz2LJ20QN3xuDOdPXKCmvA4E8vecDJtuUOuBY7j1HHaeeqbaqgaTqh/6KbAfeAuog8tcb1gpNaC99957fPvb3+bee+/lt7/9LVFR3enTS6me1acCSWNM2GErVHjt9bDamukzJ7FzS2M7P2MMmUdPkjFqKPlnCsKmmZY2mIKzF8k6kk/RhYskJMUxKDmB0kvl1Hu91mdH+M9u5KihXPJdYvKCUWTtziMmzsPsZRNZv2UXXmlaCurHS3S0h7s+cx27dm8l68xB9u09QHphKhMnT2DOosm89Ke/MW/MVbz3+70svnEmvkovAX+A2OQYdm863iSgDMctjcGhSwSXIzRQtP8PLWUMBpXNemANBpGhwaXPHguzeXAaGkQGq7ce35yN3whj54zg9S1ZpA9NxF1ayum/FeKKdjFsfDqxo4finjkCpxhKDp/BZZqVGjsCNO9cp7vjSHZUsLMdFWFGrkSvrQPJXODjwK1Y4zz+EVhrQge6VUqpbrI68BNuuukm3nzzTVauXNlrh/coLCzkzjvvY//+PcyZM59XXnmG9PT0SGdLXQF9KpBUndORoDEcY3wETNOAorKyipS0xFbTvFB4kQuFF3E4HMQljGXLhn2ElsCJ07TYNn1oKpOmjeRYZhZ5JXXMmDadSXEjqaqu4c01mwkEmuYhGFRW1JTzf7/8O9ffNJ81a1+n9FI5w4YN5+SxCxzcdRq3001JTjWzrhnP0Q0nCPgCCIKIMHfFRLavPdLhc9E8OOwKl8OuvooVQPpC7jddIcm7HeD3W/83CBhiYqOoulTNuKsyKNudBRh8tV6qi8pISE/iwp5sXG4HY6+dQu2+Q/jrGgP2Wr+zRa+pLkf4C1Gwx9b2gsngej4jbfby6hSD0xHAqb22Rtzl7mxnIDHGHAAOAN8QkcVYQeUvROTrxpi/RTZ3Sqn+oKCggI9//OM8/vjjzJ49m1WrVkU6S22688772LZtOj7f02zb9jPuvPM+Nm58M9LZUleABpKX2TWLZyEOP4GAn5joOHZuP0p1dfsd0ERSXv45xk8aSU5W4/iEM2aPZ8O6Xe1uGwgE8NZ7yRiZTn5eASLCoqVzyTzasvrlxKkjWbNmAwBCAdlZudx47U0c2HsCaBw2xG0PzSYiTWqH1lTX4XZ6uOOOO6gPVDN13Hwo9ZB3Lg+PMwapAL8v0HALbYwhUN/9oCZj8lCS0+IBuFRSTfah/CbLBw8bxPDxQ3AAJadLqCooa7K8eWlkaODocgij5ozkXFYhtZVW4F2UdZ7J80biDAlAo+M8+Ou8+Gqs4Drg83N68zGmLhzDpX3HG9ML1zaulTaOnR3+g3aG/3A5/bi0RLJX0DaSPU9EhmCVTs4E8oELkc2RUqo/OHbsGKtWraKoqIiCggJmz54d6Sy1a//+Pfh8TwPD8fkeZv/+uZHOkrpC+lggafAHulbKFgnzr5rJvv27KC1tDCRWrryF99/b3rM7aqPQrCvjbp7OPcvsOdNYvGw2Pm8Ad5STzKxsvIHaDm2/e+dhJkwazeJr5yEC+/Yforysssk6LpeL8soygpGhAbw+L7W+qpbjTsbBvMWTqKqpAjE4HE62bzrI+MnDSRx0O4W5ZYyfMYrMQ6c5eegC08ZMoLi0kmFDB7fIm7RSGtdRY6YPx1ddT9aWHAAGj0hi0txRZO07A8DwCUNwR7s5uMkKhsdNH87QxGjyMwtbTROsYDJtfBqJw5IYNyuD2IRoAn7D0c0nqC6tYcyoFJLHDKHy6CncLidRbge+qjokqvFPOOALELiCJU86/IcaiETkfuAuIBp4FbjLGKNBpFKq2zZt2sTtt9+O2+1mw4YNfaZ31jlz5rNt28/w+R7G5foZc+bMj3SW1BXSpwJJgyHQh9pIut1QWlraZF55RSniCOD392BJTZj7eafDah/Z1Tale/cdAKxSwGDTn84EpdlZp8nOOt1qVVifz0eMJxqrn4rGUjC3q7ERuZc63HiYt2gS76/dZpUoEiA2LoYFi6bz95d3MnvuZI4dPMWxg6eIi4+hrsILUwOc2VFIlNvF0LEpFJ4qwWBIHjqIyqrOlwaPm51BTHw0ACMnpLLpDzsall08W8rEsY3jOA0elsSBjVkN4dypI+dYsGIyrqxCfG185OIQkoclcWrfaRzVNTiiozibWcCoWRmcPZRPybF86vMLmH79bGrPFRHwG9Kmj+TIP/Y1pBGTHAc11Z0+PjUAaOu9nvQ0cBg4DdwC3Nys19YPRihfSqk+bPv27dx0002MGTOGt956i7Fjx0Y6Sx32yivP2G0k5za0kVQDQ58KJPsaZ5j2dU6ns0Xbv96su/1HuMQTNph0iYe6mgCjRg3nzJlzACy65irys0twOBzMmDsBj8fN4f3ZVNfWNMlHdVUNIlZvr6HnsqqyBhcu/AErYjt+OI+xU4YxdekE4gdFEzMohrO5RcxfMYUje05RW95+6fbY2RkUny/jUqFVzbfgdDETFo4le8cpwB6jz9+Yh+ADgsaBTMDr9Te0kWzN0k8uJsolOP0+zuw5Rer4NCbOyWDSimn8ObsQfF681V6O/GM/yUlRBMRBrc8wdPpIio6fZ9CwQSSlxVG250Cz82zCjiV5pWk7ycgxQMDo2KE9aEWkM6CU6n/mz5/PQw89xNe+9jVSUlIinZ1OSU9P1zaRA5QGkpfRhaJLTJgwjuxsq31gTEwMnqjoLgdnjnZKBIOlkFea0+lkzrwpuFxOamrqOHbwdJNjbB5MBnuT3b8nkwmTRrHsujG4HFGczCxEfC6W3bSAHZsPUldbz7yFU4lNiEaMYMQgCAaDwyE4cSPiICrKRX194yCVsZ6YhtenMs9zqbiCjLHpHPm7VXpnMCxZNYvtbx1u99hiEjxc2l/e8L6ytAYzztFQwCMiONzWEBe+QAB3VMvPKNrT/p/Z/jcPsvLLN5C7+xQBf4Cyc6UkZKSy+81D1Nd48YQkW19pVTG+UFaLw+0kZewQKgtKqc45Q1IUuO0qp94Ojvd4uWkQGWmibSR7kDFmQ6TzoJTqH/x+P48++igPPvggaWlp/OQnP4l0lpTqFA0kL6PjmTlMnjKe5cuXWSVnRtiwfker64dWI+2MSAWQYOX5+puvZu17G6ipqSUpKZFlNy5h/ZrdLdYNNxxJdtYZsrOsZU7crFi+iHXvBDv1MezaepSPffoWEhLjqCivwohh1JhhXCy2grvdW4+xaPksqqqqGTViKIPcCZQVVDP9qnEc2XUSPwHGT81g76bGDmgEIevAGTImpJGfHb5pk5cAbhwY01gqKyLUVNYSPzie8fPHYAIBYpLj2LuxMe0Te3K56uZpnDleCMYwduow8veeDruP0E53UjKSOLU9m7jkWEZfNY4LJwpIGjaIQ5v2tHn+nT4fpSfO4xRDjKsxiATrtS/gaFEq6QrOD1nX10uCTqV6OxF5A3gKeNuYpm0HRGQc8Gkg1xjzuwhkTynVR9TU1HD33Xfz2muvkZyczJe+9KVIZ0mpTtNA8jI7npnD8cyOrfuFf76fX/36/8Iua680MlJmzZnMhvVbqKmxSslKS8s5mnmUkaOGkhdmzMn21Htbtuk8efwss6ZOB3eAgPgpLr5I1rHTRBNPIBBgy/sHuGrhdE5tPkfp+UoEISE5llnXjGff9hNh9+PzBXC62g6evAQwxuCJcVNX48XtceGJdiMiHLd7aq2v8eILqV5bU1HH3jXHSM1Iwu10cOi9Y0Q7w5cGGZeDVZ9bQlHmOcTv5/TObGZ+YB7eWj/TV8+h6FQRtVV1DWNMupv1qBr63u0wbfa4GjpkB7TsKKe9912hY0j2EkZ7be1hnwO+AjwuIheBIqyOd8YAOcAvjTF/jVz2lFK9XXFxMR/84AfZvn07jz/+uAaRqs/qU4GkIL02oOquKVMmcO5MKYMSk6moqGx/g14iJsbTJL8iwuncPJYtXd6lQNLtavmV9Lg9HNiSQ73UUytV1npYpZtuY3XOkxSVwJGCC7iwqplWXKomyq5mmpddwMRZIzlxsHE4k8lzRrF7zbHW82F3hXtkSw6zlk0icXAcNeU1YODUwbNMXTiOA+uPN9lmxrUTydl9Gm+dj+L8UlzSWOroctCisx3xBVj7/HbmXTeB87ty8NZ5yVx3jLjhKax7cSdxg2M7dM6cYhoCP2ezYDJY+tjwvo02k66QdNri7kSQ6dSeXXsH7WynxxhjCoCvAV8TkTHAMKAGyDLGaG9XSqk25ebmcvPNN5OXl8crr7zCHXfcEeksKdVlfSqQ7G8cDgd33/0Rzpw6T2xsLOvX7GbFzddRXlbJkKFJvPJK18e2njNnBocOHG9/xU4IVzW15EIlo0ZnkHfmLAAxMdEsuuZqhsQNZ9m1iWzdsgdvoDbsts3nufFw9OAprr9pIVs27aO+zsu8q6ZSVlCNEydRJgqv1Deubxp7eCUQ5k7ZnlVyvpz4QbHMXzYFvz9AVJSLE/vzOlSN2BjDpcJy8o+dp6woJMAXQ2pGMsX5lxrzE+1i7KwMsnblNklDRHBHu6itrKe5+movFwsrrF5bR6YQnRTHiT1WG9PKEjtoDik4dTqs0kdvwAoGQwPH1oLAtoLJ5iWVqv+xOtvRz/dyMMbkArkRzoZSqg+Ji4tj8ODBPPvssyxevDjS2VGqW/pYICkRbQ94Obz77iaumj+XHRsPEwgE2L8zm1kLJvDWmxtaHGtrw2+EC9ImTRpDfU2AnBNneiSfwTaMzZ07WcrVS2eRkpTC2XPnmDZlKq6aQWzZdJgoj5sVyxazYf1O/HjDbh/kxkrfXyLsX5vN/HkzcLmd5BzJZ/a0CYxZmg4O4fjJM5w+ex6AqJBA0i/giY7CX+NHBFxuJ4RUKT2dWcDpzMYSUj8BXOJk9JSh+Gp8XDxdijfcOCpA4uA4zmYWENrF/7nsIqYvHk9cYjSexGicLgdFBaUMzUhhyuJxOB0O8o+cpa6sltHTh5GUnsD2d8PXcU4fk0IgPYGC3GIGp8Qzds4ojm/LaVjuDUC0M2QDEWJT4qkqrYEuDiPTvBpsW9VilVJKKdU9mzdvZuHChQwZMoRt27Y1uadQqq/qU4GkiHRqLMO+4FJxBTk5uQxOSaa8vJIx4zPYtHEn9bX+Th9rWnoKMTEeYuNiOHosi/ETxmF8VklUwbli6ut7bgzOYNVSL3Xs3HyMQckJ3HHbnbz/2h6qq84AQn2dF7H3314QCY0ljD6fn8M7rZ5ur79pPtmbT+Gr82MwjJ03kmp/LUUFl+x0rQhrz6bjXL1sKh6/C4cITreTHetbr7qalpHMqMlDOXbgNHFxHuaunMr+9VnU17Y8R2UllQweOohLhY29t2ZMSuf8qWL8Pj8jhyeye90xfHV+sg/kkzEhjREjU6guq8UJJCbHIF5fi3SD8k9coPi4FRwXnCphyNhU/M3iOrfDmpE2eRjJqbFUFJaTNHYogXovBQcbO/NxxXkYPHUkgnAx6yy1l6zecpuXSqqBRdtIKqVU5Dz55JN86Utf4rvf/S7f+ta3NIhU/UafCiT7q9GjR+JyuKmsriA2OoZZs6eyY/u+9je0BYfXGDF8KMNGJbF1224KC4o5nZvP+PGjmDZ1Gm++VtTtfAYDvnDzqi/Vc/70Raqr6mgcQVEIBML3Rts8rdBAMxgcxiRGUVtcg6+usdQtZ+8ZZlw7jnUFTXszNcawY/1RYkwUbrG295vWS+tGTkpn21pr+I+ykgoK8i6yaNl0Dqy3OucJ9toKkJdZwIKbpuGKclKUd4nhE4YweOgg8rMKAbj0XiYLbpjK9ncO43AIYycOJe/oeW7/3FKKss5Tf7GCquo6rr5uPINHDSb7aCHZe62S4kFpCUTFeIgZFEtNWTV+X4CCE+F7knXHRBGXGM2ZbVkYBJNTSOrEoSQMS8JXVELC8GSGj4+h/OBBAIZOm4Tjgo+y3CINIgc4g960KKXUlRYIBPjP//xPfvzjH3Prrbfyla98JdJZUqpH6d1lL+D1eXl/3Wa2btnDtu07MabzHZS4xMOh/dns2JjJlMmTMMbg9foYMXQ0f315A942SsR6SnV1DUmDE3BHubj6uuksWDqV8VMziI2LbrJeuIA0nLjYWGqr6louMKZJtdbOEhHq6pqWPBpjqA85R+5mfxq71xzF6XIyffF46mt9HNyY1bDMExuFzx9gycqZzFw8gdraeorPlrL5H4dwe9wUZRdSdq6UgNfLsb35DUHkjOsmEZ8cy8n9Z4gfMZjR88fgN7QojQwaPmME5/adso4BgwhczD7P4FGpuMQwbHwyFQePWMswVB49TsqIBMAqkQxOrXE5Arg7MDnFtOjUR/Vm1jiS3ZlUSyKyRETWiEiWiJwUkVMicjLS+VJK9Q51dXV88pOf5Mc//jEPPvggr7/+OnFxcZHOllI9SgPJXmDThp34fFYQU1VVw84dB7qcls/np66ulltuXsHIkSOoqanpdv5Cq2AMG55K8uDEsOsd2Huc0ZOG8eF7lnP0QA5HD5zk5WfeZenS+bhczrDbtKWwoISUUclN5iWnJVJ8qYJ6adlxTZDL7WTqgjFMmT8Gh0Pwh7R99BPAZ/wt8mMwTeZ5CbRoM5mfc4EjW3OadLADMGrqMAK1Pg68l8nZw+cZOXEoAMVnS6mt9+OJjyZx6CCc0R5OH7WqsA6bkMaFkxc4d7wQvy/A6YP51NR4iUtu/SJTW1pFXEpC02P1uAl4rZJXh79ltVyHufwPEJQaoP4PeAxYClwFLLD/V0opcnNz+fvf/86jjz7Kk08+iStMr/RK9XX6re4HfMZuByce5l89DYOfLesPMnJ0OlOnj2fH5iPdSv8Dd1zHkf0nmTh6AqezC0lJSmbO/ClsWrcHX7MxLcrKy3j3je2Ul1s9jhoM2zccYfa8yezZeRSw2lWGcuPBjxc3Vimjn8Y0DxzOZs6KidRXenF4HJTV17Btx8GG5aHrAqRnDGbspGEc2ZqDw+ng5o8s5FJ5OcX5ZeQePt+wXnVZDWMmDeNiUTnTZ49mxMg08rPDVyltz3G7l1aXw0FtZR3v/m4LLjv2Hjk5HeMPUFVRy7AJacTtO0tVaTXJaQmc3HGySYXD0wfPMmnReE5sz2mSfrDX1uKcC0y5cQZ5G8sJ+AIgwqhFk8nfdowowO9sWkorIhhX10tuVT9hoAMdFKvOKzPGvBXpTCilepdLly6RnJzM5MmTycrKIj09PdJZUuqy6XAgKSKjgYnGmPdEJAZwGWMqLl/WVGf5TB2b1u1taI94+tR5nnvqjW6nW1B4niXXzuW1321pmJdz/CxXL5nJ1o37m6ybmBRH7nGr7aCxx98IBAwZo9I4cjCb2tqWJYle6nDjaRjaI7Ta6oWCUjadP4Q7ykW1r45qqpsMAdK8iuuoCense9/qHXXiwpHsOXqYM3nniYpys+jWuex5+zh+f4Cs/XlMXzCWGVNGc3jDCU5vzSd1ZBJT54/h2J7crp+sEG6Pi11rMik+XQJA/ulLuD3Wn1xNVR2xg2KoKWssMU4bm0pJ3sU208zacIyJ88dhAONwcG73CatE0gl5hwuYunA+lccycbjdJC5fRnHuRYZcPZWina13PBTKa7elbGusSM+wVPw1dfgv9Z3xTgcyg3a2c5msE5H/Bv4CjU/HjDF7I5clpVQkHThwgNWrV/ONb3yDL3/5yxpEqn6vQ1VbReRzwKvAb+xZGcDrlylPqhuad2rTkbESw1mybA6Ll89g4bVTOXb8OPnn85ixaASrPnoViUlx+Hx+TJjGfEcPnmTWVRMagshp80YxfVEa6zavY+yMwcxcMLbdfddLfcNkvfdR5a3lo5+9vt1tA14rAIqO81BqKsg8mosxcKmkgvfXb2fyglEN6ybGx7LzH4eoqawl4A9QmFtCfHx0k6q8vmbnzxcINHntCwTwGWNNocsMeOt85J8sbphXeamaUrvn19yDZ5l0zXiiE6z2oomp8Qwfl8rFs02rzbY8Pj/ndmdzfnc2edtPUGOPTekzQu2lKrLXZxG9aDml8aPIr40lf3sW5w/kMmjWJGr9Tmr9Tmtd+/8mU0iHPN6Ao8XkSk1m6OLpRImf+NQEhi6ZiXShynKQxCeCQ2vXqz5rIVZ11keB/7Gnn0Y0R0qpiFmzZg3XXnstDoeD5cuXRzo7Sl0RHS2R/CJwNbADwBhzQkTSLluuVJcFq7kGhRtjsiO2bTrINdfNIPtkJufOFvB+2UauWXA1h3efoqy0AsGBOB0tqqlWV0FFRQULr5uBt9ZLhaOQHVsOUV1TQ17+eWbMmMLgtASKLrRS8tas4MQr9cQF4hmclkhlUSWD0mMpvFDVsK5X6huGDQEQl2AwDBmVxJGcbMA0pFlbU4/f7aderHaDAV/ADniFYPmpt9ZLwGnw2e0O3eJoCCZddoAZGjB2lTGGPW8fYcLcDGJio/BX1nB8QyYZU4bhSYoFYzi9/wy+urbbOAaHBQmKTU+msqSSgNPN2j/tZtk1k6jJyScuNRFEGuo4ttXpTmtSJwyjZNtBxO5oR06fY8icKVzYfbzTaQF4Js4gUFpE/akTXdpedZyWSPY8Y8yKSOdBKdU7PPfcc3z2s59l2rRp/OMf/yAjIyPSWVLqiuhoIFlnjKkPltSIiAu44q1ujDH4Tc+NhdgfNQ8cmweWHeaHjet2sXDpNC4UFWHEMCQpnUOb9wMwc/5Ysk+exE/Lz+Pw0SxEhOtumsuWN5v2Qnv40FGWL7uO84Xnm2zjow6/eFuMN3nnnbdQfq6GpEHxbHvjANesmsrFsmGkjEjilZfXWO0rpTEPp88WMmXRWHIPn2P8tJEcyzxJXV09AQzRMR58domlHz8+VwBxOsBvGr7M7rgo6rxenGEK633GNASTHeUSwe0Ab5i4zRjDqf15uB0Q7YRxiyZw6vgFSo+cx+l2MmvFZLK3noBOjP/pHDOKHG88xw4XcPF8Ge9vhZGTRzB0+FBcYgCDrwtBhbicBGprm+bf50e60MNwkK+2HkfMoC5vrzpOh//oeSIyCPgOcJ09awPwfWNMWeRypZS60o4fP87999/PihUr+POf/8ygQXpdUwNHRwPJDSLyH0CMiNwEfAHofuM71eO6HDiGMXx4GkmD47lqwQLi4mJwJxrmXjsBh0PIzMzhQphSxYbA0sDZ/EIGpyZTUlTSUNU1OXkQpeVl+EwdLvGQNmwQScmJ5Bw/B2FikjXvbeWmhUs4viEXYwzZm84w/ZYJ/H3turB5PpNTSMmFMqbOHs2QMclU1lVz7OBJUoYksWDBDHa8c7ShF9ddWzNZdsNsLp4qpaaslpHTh3Ei82yT9LwESE6KY8z0EYjAuaxCyop6vm2gJ85DRUU9ZQVW1Ve/18+BtZlMvWYs+bsaO99xtzPsRsX2/Uy+4SpKhg+iJP8SHo+TmSOjufj+rm71uGJ8fsTtbrnA2bmqqZ7JM3CNmkjt6TPU5OTijI/HPWk+cdOmUrnhLQKXSrqcR9U6LZG8LH4HHAbust9/EngG+KeI5UgpdcVNnjyZN998kxUrVhAVpR3cqYGlo3eB3wCKgEPAg8CbwDcvV6ZU5/iN97KU1A5KSmDvrky2bt7Hmne2cuFCKes3beH9DZs5V3gen6kLOwUdP5rLomsW4I6ynle43W4WL7maI4dO4HK5WH7zfKKineTln+WqxVPIGJOKH2+TqeTSRTbu3kP62GSS0uIZOSWdTUc2MW5qGqMmDMFLXZPJj5+qilp2bznO31/YQllBDdcuXsDIISPY+uZh/P6QdoxeP2vf3kthWTm+eGHj2oOcyy9ucg7SRw1m2KQ09mzOZPemTBKGJzJiUmPj+eZtKJvzGRO2NLK55OFJlJwrbTIv4A90qdi/8sRp6rwBVt5zNa64aHw+P5X5RXZ+Wg8oolPbfopaV+MjemhKY55nTaL8dOd6uq07fpi6gzsg4MdfXkH9ufO4EmKpeOc1DSJVXzPeGPMdY8xJe/oeMC7SmVJKXX6VlZV86EMf4t133wXglltu0SBSDUgdKpE0Vt3E39pTBBn8gZ4rcetrnI622zv6jRenhCk16qJjR5sOQ7H+vZ2dTmP9mt1cfdUCxGEViK17bwfGGK5aOJO1723B67UC4PXrt3PDDdeSn9sYyAVLLWdMnUD64FTqh1cQqPMxwjOUt9ev4/oV15F/soRAG20WSy6UUXKhrEXvrqGKz5e2umzomFT2bchseH9832muWj6Vs1mF7QaRnTF50ThiT5ey3y6RBIhJ8OCv7fwDgqgJY5hXXEbN+vUsmDAOV0J8h7ZLmTOB6lNnqTh1LuzyooOnGDRuGElzhyAOB6U5Z6m72PnSWV/hOVyDh+MZPQp/eTmmphpTU9XpdFTHGCCgw3+0ICLlBBtIQyxQQ2OTjThjTHs9SdWIyFJjzGY7vSV2GkqpfqygoIBbb72VAwcOcPvtt0c6O0pFVJuBpIgcoo22kMaYWT2eI9Wq1oLo0ACzvZLJYKDZ2RLMzgSoTarX+mDH9gMtglxjTEMQid3hzYXCImIT3VSXe5ukERBDTtkp3n7vXTwxUSy+ej4AmcezGD56KPmnijp1LEF+/Dhp+17R32ycTKChI56Oaq2NZJCIUJZbRGpqIlMWjyf3UD6DhyeRNjKZrA3HcQkMn5ROenosALUXy7mUU9hqepc27sHY+a7MPENV9tlW1w3JBJXFVXgGD4JWAkmAspPnqc7tXmdDzpQ0PCNGQslZPMNT8IwZT/3RPd1KU7XBiDWpJowxicHXIrLXGDMv9H0Hkvhn4Dm7raQAF4FP93Q+lVK9x7Fjx1i1ahVFRUX87W9/Y/Xq1ZHOklIR1V6J5G1XJBfqiroSHRYNSUtm3MQRABw6dJxLpZeYf/V0du7Yj1PcuMIMG5E4KJ6TWQVIs6/luo3bWXTtLESEmppa1m7YDEB6+hAKz5S3SMfpdBAdG0V5RfdLuYLVckNFeTo8/CqJSbGMnzOCeq+huryGU4esoM4lwlWrphMrAUwgwIVDuQwen05KjJvZ/3wd2/6yj+PrM3E7YNzM4cT7KrmwOw+ApJGppE4Zzvmj58Pu04QEvy5HAF8bHb8OWziFuFFDuZh9nsIjp4kfMoiEedMZMW8cJ19ZR31Zz7cHNfX1VG/4B8ZbDxfO4ysuAKcT/J0L0FXHBTSQbJeIuIwxwb+Wdp+cGWP2A7NFJNF+3/LHSCnVb5w6dYolS5bgdrvZsGEDCxYsiHSWlIq4Nu+IjTGnAUTkJ8aYr4cuE5GfAF8Pu6Ea0CZMHgmuGt5b9y4iwqLFV1FUGMPChbM5cvg4tdU+Dh86wYoVi1i/fjvGGEaPHoHfF8Dv9wONAYXP1OEUNwf3neD6G67jvbXrMcaQlJTIkMHpnDh0sElPr3OunoTH5aamqo6ElDiOZ+dyLq9jJZYut5NpS0dR5a/GKQ5ctVFk7TvD4pWzOLb3FH5fgGkLxpJ3qPUSu1AJg+MZNm0ou9ZlYYDE1AQmLxrH8W0nAdj99lEWLB+Pv+giteU1FBw6w6glU1n/h22UX2gM4FJToyndnYvDjgXK84sZdvWUDuWhPed3ZBKfX4w7JQlfTT2lecUMmzacrOfeIuBte+iRrgpUlDZ9X9bKUDBKXTmbgFdF5C3gWuBoayuKyD3GmD+IyFeazQfAGPPY5cyoUioyxowZwxe/+EXuv/9+xo5tf0xspQaCjhat3ETLoHFVmHmql+tqaWTodm0NMeISD4OHxLL2/R0ATJoyntKyMj54+4288PxfueHGJZzMzgdg355jLF1yFQECFBYUsXvX4VbHvayqrOHI7jMsu24pgYCf6ppqtm442GSdyVPGUpxfStHZUnuOYf4NUzifX9yhwWqmXzeG9zZtwuvzIQhJgxO4auIctr9zmFGThxLldLL/veMYu21k+ugU0sYMpt7rx+12UpxTTOn5xkKJUdOHc2hjVkMAWFZUgXdcKq4oF3j9GGM4sjmH+deNxVtVR115DRXltU2CSAAJ0wbUBDpWeucLWP1pNe9kJzjf5QhQea6E5LRU0maOprLgEnXllR0KIr2BzvXYqiJHh/9o11eBzwAzgd3A/7axbpz9f0KYZdoaVal+xBjDr371K2655RYmTpzID37wg0hnSalepb02kv+MNdTHeBEJvWtPALZezoypvqve2xhYpqakEB0Vyyt/eptLF8tYt3YbM2dOISY2lmNHc9i2dX9DkNpeO8yqyhq2bz4AWMFrtCOxyfL0lFSyjxRAyE3z6cwCRo5Jo+DkpbBpRsdGEaiyArUKbwW+kGqhpRcrCEyzAqozxwsAcNsdHUfHRpGSkcSe9ZkNd45Xr5hKZUk1vnprm3DtKytLa4iJ91BzqRqAEVPSiUuOoyotmaEzRuGIicLdLD4LuNwgwT5BABEc7o5Xr20tiAy+Tp40gsQRgynceojU4YNJnjiSi7szSRyVRlRiDMWHT4dN1+3oXltJdeVoINmSiCxrNisTyDTGbGhrO2PMb+yX7xljtjRLc0kPZlEpFUF+v5+vfOUrPPHEEzz88MM89phWNlCqufbuRl8E3gJ+hDUESFCFMabb9dFEZCXwc8AJPG2M+XF301Rtc4q7S6WSTnG3WlrYfH6sJwGxb1y3bN5BRsYwpk+bxYXCEoYPT+fSpQp2bG98LhEMIF3iCbsPN9Y8L1YvrsHeXIEm1VrDDWYTnxRD/oXWO6b5pweX8+LP3iXKuDBhxmgMtHL/PW72SA5uPdFk3oEtJ5i1YBxZO3MBMP4AUTFufCE9r6ZlJHH4RCEuuxpcwG/Y834WprqO8w4YPndMi31lbj/FvGUz8F8sRQTiUhPJ3XaixXq+gANvwNEQ4HW0xLCqsJRLJ87hEj++S+VUnrV6zh00LBFpY9zK0H2p3svQrSFE+7OvhryOA64G9gHXdXD7XwDzOjBPKdXH1NTUcPfdd/Paa6/x8MMP89Of/jTSWVKqV2qvjWQZUCYivmB7ySARed4Y88mu7lhEnMCvsKrN5gO7RORvxphW26aAtDsExkDU2SE/ujpESGuBZHO5WUWsvPkmtu/cidvt5rZbb2XntgOsXHU92SdOMnhwMi7pWDvDzhg5IZ04bwIHtmQDVkc5ySMTOHQsmyhaDv8xakI6e3YeYeioFC6eLiPGEYsnOoraWqtENX1oClLeGEm6QyNVYxCHNIyrIIA4BGO/dwmc3H2a2Ssmc6monPKL1YycmEbxyWJcIrjspApPFOJ2QLTd99DpPblN8ugU8Nb6OLr2GMlJUVa12sP59lLB2xDpOsARwBdwNClxrPU3dmrU2hiSvtJqOzkHCaOSGTJ+CP7aOhyBeozXS/qCCThcLsoKKynPOYcv4LA68WknUPUGnPi1+qvqpYwxHwx9LyKjsALBNonIImAxMKRZO8lEaKcbaKVUr3fx4kVuu+02tm/fzuOPP85DDz0U6Swp1Wt1tH7c9NA3IuIC5ndz31cD2caYk3aafwJup+1ODnp0nMT+oqMBXnc52+/IEIDyQi8HLhQwe9oSvD4/3koXiTGpbHh3H1OmjWXO3OnERw8iEDCUlpVz9HB2m/toMU9azo91x1F6sYIan4+5yyYT8PnxE2Dd2l04m33NP/K5FWSfyAMMWzccYOnyuQwfl8zYsRk4/A7qqMUpDgIVwql9BU0CyGBJYu6BfOYuncSe9ZkNWZp37SRyt54i2m4UmZgUQ5rHMG5iIs6YNHJPFFNz/iLxdrbdDitQdDvA7TA4xUqp+RlwOwxOB9RX1jZs11ltVW9t4AhQcfYiyRnJeCouUHXGCvY9Q4cQGDaGS6cKMUZwiWlse6mBYp9gtNfWdhljzojIZBFxGmPaaoQcBcRjXT9D20mWAx+5nHlUSl1+0dHReDweXnnlFe64445IZ0epXq29NpKPAP8BxNiDN4N1z1wPPNXNfY8A8kLe5wMLw+ThAeABAIcGkX2GMYbjR84AcPL4WbxYpXyVlTUc3HWSw/uyASFtaDJXLZzJrh2HurSfFTdfTXVVLYOTklj/7h6WX3s1NeU1pKYlseHv+wgEAi2KCF5/diPzl0/mwIHjAJw4doZZ0yby5u+3gc/gJ0C0/V1z42gIHgFcDitwCtT7KTl5kXv/fRWHtuXgdjspySxEfIGG9RctHUXh5iNcFINBSBw1hFETUzmfU2wHjY1BYeN7E1LK2HRZZwWDxw4FkUHGcGZ7NuOXTQY7kHSMGEPOhqyuZaIdEuWxOg5qa4ySK8HlwjUkFd/5gsjm47IQHf4jDBHxYPUBcK09azMwu50gErsN5QYRebZ5TR2lVN+1b98+xo8fT2JiIu+//35DT8xKqda1WZxgjPmRMSYB+G9jTKI9JRhjUowxj1yJDBpjnjLGLDDGLLAKQlVvFmzPGI4TN2PGZHB4Xw7BYsULBZeIjorp8v727c4kPj6WTev2UltTx3vvbkM8hhMH85p0nBPK5/WTd+ICMTEexkwYTnxCNGeOXWjoHMfZrATS5XA0TKESBsdxIaeY7O25HNuUQ2lhBS4HuBww54bJONwuUhZMInncUARD2eki0oYntggM3Q6rOqy7WXtEt8M0LLvSoj1C3MKribnqamLiXXZnPz3HERND8nUzSb1qEKnXpDFo0SxwRK50M2bWFOKunRqx/V9WBjDSval/ehKYBjxhT9Nou7fW5p4WkaTgGxFJFpF3ejSHSqkr4o033mDJkiX867/+K4AGkUp1UHslklOMMZnAKyLSogMBY8zebuz7LDAy5H2GPU91w+Wo5hrauQ20HSxC61VgvdSBv+WPs8/rJ8rpwe/vfMctpRfL2fj+bq66ZhY7Nh8kfWgKZedrOHOykHqpb1gv9DXA6GnpGD+cyylm5IQ0XAEnxefKGpa7W3nGEhvrZua1k6iprCVuUAxZO0+xcOV0aipqcYuQs+MkkxaO49yRs5yprMVf5yV9TArDJwyj5EQBpgMXp+4Ej81LH93xMaRNHQUGKs5fpCK/uO3tAw7ccdHU4iFnrdVD7shrJhI3NImq8+F7vu2KxLnjcZx+m+An7nJFET97GZX72mgi3dMcDsRttZ2NmpiEayhIdAwYg/H7Il9Kqi63BcaYWSHv1zfrnbw9qcaY0uAbY8wlEUnrsdwppa6IJ598ki996UvMmzePH/3oR5HOjlJ9SntFfF/Bqlb6P2GWGeD6bux7FzBRRMZiBZAfAz7RjfT6vfaCxCvVVrIt7bajFENUlJv6+saeTGNiWwaRE6eMIjk1ARGh8GQFBWdLWk1yyvSxYAzX3jgPU+fAQxSxCWMwngA1dXWcPlJIbU3TQPLsmWLyjlzAGENxdhljpg4DwC1NK8I2L4Wsr/FyqbAMh9PJ0a2HATi0IYsZ104kb79VU9vldlBeVEl8ogd/nZcLucUMXzaB1CkOzp5q/Th6WnTqIGJGDiNv5wkwhqTRaQyZMZrzB/Pa3M5bVUvOuwca3udtb9lDbHe5neU0+cR99bij61pb/bJwJiaS8pl/wkTnEDDFQC0pX533/9m77/iorjvh/58zRV2iI3rvokiIJorciINlJyQbK05x4rBJvLtO9smSjb3Jk+3Js0/W9s9smrPrkPAkXiexlcSx18YFY0AU0QQSINFEB8EgilDXlHt+f9w7o5E0I43qSOL75nVfmrlzy7kzQjPfOed8v9iYTNUbh2g41otBbQ/SgCHlP0LxKKVmaK1PASilZgIdSWltKKUmaK0vWvtPROpICtFvGIbBd7/7XX7wgx/w8MMP8+qrr5KYmNj+jkKIgPaytj6plLIBf9+yXlZXaa29SqmvA+9hZrr7pda6pDvPcbdp2XPYFzh1DB7lxo4TD43s23OU7PsXcftGFfX1bsaOH8HR4pPY7bZAMDl/4Qyuuq5SctxMZDN/3mzGOUdy4XzoDuuUxGTOlZVTce02I2JH8tlvrOa/fvwqtXUNzF4wkU89uYJXfrit2T5lJZeI0WZvlNaac6Wts8g6WvQeOqy7Z4svM2PxJBIGxVN3p545K6Zy+IPj2IHR4weTOCie2MRY3B4DZ2IcCk3M0BTKr1ZTcamy+fMDeAyF3d70+dNjqG4Z0poyeXSzMiGVF64zftnMZtvYYxz43L3f82aEmO+sde8OXfdVVnJ9w68Y8tnV2CaYU8CNOzHc+u83Me5UtbN3/yLRTUjrgfeUUmbmLZgEPNGB/b8L7FJK7cAcq78Kaz6/EKLvu3HjBr/+9a/5i7/4C37yk5/gcMj0KSE6qt3/NVprQyn1EyCju0+utd4MbI50e4WtzwVKfUFPPyf+47c3/9HPqZuX2vAHk05iwYDdHxSTlBxPXFwsu05ewbB7WPflT7LxpT8AEJfo4MrlptqPx46e5N57lnP5/HU8NLbq9dy/u+n7h/HTRvL/fv469XVm71ZCspPiY0eYOH0UF05HnkilWYKdEJ05MfExTJ43lriEWBrrPaROHobNgCHDE3DXe3DXubE5bCilUFpTVVHNlbKKVsfxGE0JdzxBw1LbCyaHzRyLPTkRpeD2+QrcFa2HnRo+o1UA4WnwYnPaMTzmfNC0P1vCibcKcdc07w0Ml5DHYTPwWplb2+P12fEadny+1hUR6m/FEJ84HGrNHlo1fBq1l+tDbtujfOBtqCXGSAV3AqDw3KploFVxkKytrWmt85VSM4CZmIHgSa21u53dgvd/15ryscxa9Tda67bHjgshoq6qqorExERGjhxJYWEhqampMidSiE6K9OuXrUqpTwF/1FpKW4v2TZ81nvGpI9FeDTGKfUVHuVXZFOzUVNdTU10PwNx5M7hWVklcXAwNDW58vtZJcry+yHrNElPicFy38+iX7uH4iTKu3bjMjZs3uWf5SsbNnk7tdU1pwcUuX9+QkckcePcYDTWNpE5LZfiYwcQ5bJzdU4Yzzsmce2firnOTNDQRm9vNud0dz3oaLphMTZ/CjYs3qbF6UVPTxhMbY6P+avNA1e6wNattCeBMjA0EkcqmqLnoYuSscVw+eKbD7euK6uJT+GbOJS7VhsZO7eVq3JeiMEVaKWLHTef2q9vxXi9j2BcfJHbyBBrPdf13RPRtSqk44K+AbGtVvlLqZ1rrhgj39+/n776eo5RCa53fzU0VQnSTixcvkpOTw5o1a3j++ecZNWpUtJskRL8WaSD5F5jzJb1KqQbMb2+11jqlx1oWgkJJj2QIkdZ37M7ztOx1DDZx7GiG21I4sf0sypqbde9HF/HGlu1N+zsdPPq51Vw8dQ2nw8mR/DJW37eKxgY385ZNYe/uIsB6ze1O4uwJ5n7tJPq5duE2KSnJ7NpyjLHTkyk+coT4+DjOnT3PMMdETh1qPoTVbvU8KaVYsnIWsTYHNhQ+w+DY7rJQpwBg5+8LA7ddZS5cZS4yV00HwNPgoXT7CWx2GzOXTebqge4N0lSMg9qKKjQKhcZVcolJWTOovnIT7E1B+NXCs0zKnsvNMy7cNQ2MmDOO22ddTLx/PjbDi/b6qDhyhkFTxzBu8RSGzxjLmf8pwFMbfq6i17AFeiW7qu7kWeq6fJSuu/7TV9GN5jVXvPhHVEz43+3+SnokQ9oE1AA/tO4/bq37bIT7Px10Ow6zNnIhXcsdIIToIcXFxeTk5FBTU8NDDz0U7eYIMSBEFEhaJUBEFEUSLLYXZHWWh0acxLYZPMYEPTZ58hhO7zyHsv4BXDtRwcRxYyi/ZI38csOHbx0kY+FMDm07ibvRy7nia0yYO4LXfv0BD34km/MXLxEbE8Ok0RM5/OFZ8/wKfC3yYQQ/N67Lt8hYMY2bdbeIczgZMmQQw4YMZcTgUST5BpG5IgWHw86J4gvUVNZb+9tYtHIm5cXluOvMY8cnxTJ3xTTK9p5tda0OpfCG6JjXNoXNbsOw5noaPgNnTPfOuVA2xdDpYzhnzX3U1vNreM1zNhuSani5uOMo8alDiR+ayMXdJ0Frbl2uZOKyqXhv3sJT28Ct4xcYlZXGyXcO46lxA5ENXR0QtA4EkSHvDwBmsh0RwnytdVrQ/e1KqYjn6WutPxZ8Xyk1HviPbmqbEKIbbdmyhU996lMMGjSIXbt2MW/evIj2c7lc5Oauo6iokPT0TPLyNpGamtrDrRWi/2j3U64yizf6tNbaeqNcCpRprYt6unFi4FA2ZQ5zDXLrRhXlVyuIS4ghPjGG0ZOGsmtnER6PlxuuOwwbMYhaTyMVR6yEMS06VcIF10d2nyNxUDwZWVOItX+MGpeHmQtGsjvvLDeumSU+sh6Yx5E9ZYFsrjE2Gw21bmzWPImGmsZWGVv9WgaRXm3OoywpOEvmfbOovl6Jp97D8EnDuXKs7QypfiNnjCJhcAKXS67gqQo/TSt+aDKO+FhryKr1PMQ4ULbwPU7VVytbrbuw7yzTlk3CV+emobKG2soG6m/V4IheKUfRY5T0SIZ2XCk1V2t9DEApNQ842YXjXQYGaDFSIfqvW7du8alPfYrJkyfz9ttvM27cuIj3zc1dR0FBGl7vRgoKNpCbu478/IhTewgx4LX5sVEp9VXgOnDBur0VeBR4VSn1d73QPmFp2QsXioe+0ZNy7sxVJs0b22zd6JkjGDwsmYXLZ5KQHBdYP2bMCGYtnciwGSkkDUogbf7UwGM3K+5QVVnbqTbUVzdQsvMqe987RVVFAyd33cIeFCXt317C7IWTmnbo4kR7rwafx8ehLaVcv1RJTU0jRR8cp/ZmTZv72Z120j86B29lFdcOnWHC7FGMtUqRBJpmU0xcNp0xi6YxLmsGh363h2V/+VFmP5JJ2trFTFo2nfKD4YfhhjJy5mjihiRhpAxmxJI5DBo1qMPXLEQwpdRgpdTvlVInlFLHlVJZSqmhSqktSqnT1s8h1rZKKfUjpVSZUupIcJ1ipdQT1vanlVIdyaLaUWOBw0qpQqXUQeAQMFoptU0pta2dfVFK/di6hh9ZCel2WsfotH74HArR5w0dOpQ333yT/Pz8DgWRAEVFhXi964ExeL3rKSoqbHcfIe4m7fVI/g0wFUgGjgMTtdY3lFIJmHUg/71nmyeChQsmg3vm2gsm2xr+2t6+HmX2lIUa4uq2HovRMVwtv0FcopM590xD+cCeaMeb4OP8+SvUVNWTvmQm9dWNlJVe5k51LXv3FqO1JjExjsnTxrY6dmcYhqbs6BVQMGhYEpfKrlNrJfcBzFIjQbFjg9dLfFIsjbXmdcQnx+ENkfTHb3BqCpWu0CUiaisjn/k3bfEkzu8oAcPsXiw/dI5xy2ZQHpQkRxsad50bfD7O/qkQpWDnT99nSvYsGm/VcL3kEnalQ34tFC77qtfj4+SOk3hq3Vw/foVR8ydE3GbR//RSj+QPgXe11o8qpWKABOB/A1u11j9QSn0b+Dbwd8BDwHRrWQr8DFiqlBoK/BOwCHNUbqFS6k2tdeu0xF33tS7ufzDothf4bTeUyepvz6EQfZLH4+FrX/say5cv50tf+hL33ntvp46Tnp5JQcEGvN71OBwbSE/P7N6GCtHPtRdIuq03n9tKqTJ/anOtdZ1SKuI06aLv6GyvZXDZDU+Llz44sHQrNzE6hnOnr3Lu9FXs2Fl4zwx2bjmEDzMwO7T/OMuy5+FRbgoKigAzSK6q9XCsOHximsTkeGobDXweT2CfSJwpvczC5bPYv6Np+tPYSSOoKG/6XHVo1ykyV85kcGIcHrcPr8fHsT1niLO3DsRi4p0syp3HBz/pemlVOwbaZzTrEK29Xkni0CRqblQD4IxzYlOaxMFx1I8fxp3LN5m0dBrXDp3DU9s8wWSoJDgeo/k6n1ZUlF237pmPXSm+hF0pAtGorY1ZdWGC05Z8Vlt6vaSHaKWnZ7wqpQZhZj/9EoBVRsOtlFoL3Gtt9itgO2YQtBb4tZUFfK/VEzfa2naL1vqWddwtwBrgt93dZq11l3oPtda/6q62QP98DoXoi2pqasjNzeXdd99lzJgxXTpWXt4ma45kRmCOpBCiSXuBZLxSKgPz02WMdVtZS1ybe4q7hke520zE4/Z60Fo36wGsulNLQmIcdbUN7QaEw0cNYlraeG7erCQ2wQlOgz07i5ptkzI4kVnzJ2Hz2Im1xVG69wI+q8yF1+Ojovw2S+9N44arksFDk/F5DI7ubwpaJ84ahWHXnDp3jaHDU3BYnZH++Y/Bxs0bxdZt+0kZnkTVjdZDV628N83mG3rCxGXabreG1Vq9j0D8sBTqzlwAYMzs0QwdHMOt0gsMv3cegw3FqJmjueOqYtC4odw4WR76wH2EL8KgU/R5w63hn34vaa1fCro/GagANimlFmBmL/0GkKq1vmptcw3wZ6kYCwRPIL5srQu3vs9QSh2ljdhcaz2/k4fu1edQKfUk8CTAhAkyIkEMDNeuXePhhx+muLiYl156ia9+9atdOl5qaqrMiRSiDe0FkleBFzDfNK8F3fY/JkS7Ypytg8zklATq6yLrHZ0+dzy7PziCVhqNQcqQBBYsnEnxITMvRlx8LLMzJrL9wwLs2o7D4WDN6ns58O7pwDEunnZx8bSLQUMTuXy6Aq/XjBRjtANnjINBw5M4uOMENhQXT11j/JSRpE4cys1LlYBZk/EjT63kyLFTXHC5OH70LMtWzGfmqmkMiUlh1+9Cd254DIizN7/v57TBmYMXWHDfXC4XnMDb4GHErDHU1nkxvAY2h41hw+K4euA0NjT2GAfeGzdxD0rG5vWQPG54s0DSY6huS5YTbkisv/THXZPVdYDQLTNVddwNrfWiNh53AAuBv9Za71NK/RBzCGZTG8yEbQPhF+cR66d/aOzL1s/H6Vrnb68+h9YXAS8BLFq0aCC8LuIuV1VVRVZWFtevX+fNN98kJycn2k0SYsBr82On1vo+rfV9wH8Ca63b24A7wLd6oX0iAj48EQ/z7Ozxg3+G4lHuwJBXt3IH5kwClBSe5b6PLiYu3gwo52ZM5c7tGrOXsh1DhiVz7crNZuvu3K4lPq6pQ3xuxmR27jgQuO/1+jhyvJTRE4e1Ot6dW7WBINJvyryxlBaeJybWSUJSLPFJsVw5V8GQsU0JaHxeg/d+vJNknUD51QoAbt24Q21ZDdt/Y3bUhCoJAk3BY8teSY8B7noPhe+fYNC0sYzOnMb163VcKDI7EwaPGcydixWBT6an/mc/leeuY3fYuHmqnDNbj4Z51oLP0b1z48IFmKLv0hqMLi4RuAxc1lrvs+7/HjMoclnDLbF++sdUXwHGB+0/zloXbn2fobW+oLW+AHxEa/2M1vqotfwd8GAXDn3XPIdC9ISUlBS+9rWvsWPHDgkiheglkX4q/HutdZVSaiVmseWNmBP7e5VG49WNsrRY/PwBZXcv/mO3PEcowfMn3cqNDx911Q3s/qCYaWnjyFwxkwsXrlBy7HTI47Q8d31dI3FJsWjlH/ppfaq1B0VlCnwtEuPcunWH5CEJEf1e3blRw/gpI7EDjbVuPHVuUoYm4oxpXl5k+PghjJ04gpg4Bx95ZBkxCTFUXjYT7nitZDlerQMBpdcAn9VcX5gP4z5t1pu8WHSRc/vPUuWqDjxWU1FDYurgpsu0KavMR2TBYaigz9dG0pW2Hmt17K4kb7HbUbEyMr43aVSXlnaPr/U14JJSaqa16gGgFHgT8GcNfQJ4w7r9JvBFK/PoMuCONXzzPeBBpdQQKzvpg9a6vkgppVYE3VlO5O+prdylz6EQXZaXl8fevXsB+Na3vsWiRc0HT7hcLrKzc0hJSSU7OweXyxWNZgoxIEX6puf/lP4w8HOt9dtA+Elx4q7QkV5Qn8+g+OBJ9u8+RuUtM1iaPmsCS1bMZdmq+SQNC51NtqHeTVJKPPGJTY+nZU7h7KmmL9ivXb7N5Kn+L+AV06ZN4LHch6mvaiRGx2AndLKXGG2O7L7lqiJjybTAoDStIX3xVOKdDhwKhqSmkH7fTNLvnQkxkDUtjcr8GyxbNJfZ900leWhi5M+DblrC8Rj+3ko3DbYYkkcNweawMfdz9zIhey5Xj1yI+Hx9kXPyDBzT5ka7GaL7/TXwilLqCJAO/BvwA+AjSqnTwGrrPsBm4CxQBvwceArAShDzPcys4AeAf/UnjemDvgy8qJQ6r5S6ALwI/HkXj3m3PYdCdJrWmhdeeIFPf/rT/Pu/hy8i4K8FWV19mIKCNHJz1/ViK4XoPi6Xi5ycbFJTU8jJye4TX4qoSIYXKqXewhwa8xHMoTb1wH6t9YKebV5zTnuSHhIvH0BbcqjwJT26UxxJYR8LLkESnHgnxrrtVm4aVFNNyIVLZ3P1UgXXys1hqwuzZnHpnIvr15p/3rHjJIZYFiyZjsPhwLB7OVt2kWtXmw93nZ85DXsczJgwhXP7r3H9QiXDxwxm6IQUDuSfCASNoYwfN5KRyfEkj0jGi0GM3cHF4stMmDeW29fukJySwLWy6zTWuZm5bDK1lfVcLbvOtAemkDwhmWtXbqHrNdcLXTTeaWBwajJ3Kmqwa4h3mHMkPUbo4NGuzLmScXZw2jR13ta9PxNnDGfa4ok01Hm5lH8MXW/2Qgf3INqtHtt4R1PPrNewhczY2pY4exvZWi2OoIyubc2VHJ1QS1JMI6OGtPgMO3MxhmHDdnpf6B3vcnPf/bCwnfmIHTJj6Bj94wf/okvHWPPqP3drmwYSK9sqWus70W5LZy1atEgfPHiw/Q2F6CN8Ph/f/OY3+dGPfsSjjz7Kyy+/TFxc6JEuKSmpVFcfBsYA5SQnZ1BVFf0P4EJ0VE5ONmlpBaxf72XDBgclJVls3pzf4+dVSoX9DNBesh2/T2OmD39ea11pzdN4ursaGCmN0Wwop+h5U6aNYVhqHG5PI8lxwzly4BKNDe1UfgkRq3iUO1B6RCmFw2ELBJEaTWHBcZZmp7UKJH140DqGon2n8Ch32F7QI4VlzE6bQumpi9y8Zg43vXKuAnuMneGjBnPjWmXYYPJGeSUz7h3N8Z2nrZTEiph4J16vwchxQyndeTrQI3qy4Cxp2dMZOm0ItXUNHPptMaCYvHQCU1ZN5PhbJ5mcPoHbVys5f+QKHkNhV2YQGSpzq90KMu3KfOKCg82RU0cwY+kUbp27zvWLd7h8+BzTVkyHRg/xg+I5/t4RnFYg59MKu9IRDWf1hAkmnUoHAk+nLbKJcW0NcfUYdjyG2RvsSB2Nc2E2VSfPU3OlCl+Dh0FTlpI4aSycP4r77OmwxxFdF8H3haKDrADynzBLdqCU2oHZ+9dvA0oh+oOGhgY+97nP8frrr7N+/Xqef/55bLbwA+ykFqQYKAoLi9i40cuYMbB+vZeMjKJoNymyQFJrXQf8Mej+VSRra5/RU8H12LEj8XCd9z4oBsCuHHzs4UfZ8+GpZj2QELo+pR1nYM5kcAAYGxdDQ31jYL6jw2Fn7sKpjJ04khHjL1FxqarNdvnP5aR5T+yQQSmcO+JCBUWyF09eZc6Kqdy4VolbeQFaBZRuw0v5tdvMXD4V12kXs1dMB5uisqKGmDjzOhvr3cQlxdJQ00hcShy1sQbVNxuYuHACp3adofSDU6z43CK8WlNb00hscrw5X9JQ+GxmsKjtdialj8dmV1w8coXGOjc+673PpwGjKdiMT4ljSvZsjrx9mCnzx3F+z0kMj5dLxy4zKW0MZ7cdM5+LloFci2DVp1WrbXzhOh1tQdu12THZsWlgXp8db/l1PA3bsI2eSc0FM1dI0rjheI4dxHP1CoQZfiy6zvrVEt3vl8AxzC9aAb4AbAL+LGotEuIu4HQ6UUrxH//xH3zjG99od3upBSkGiszMdDZsaOqRzMxMj3aTIu6R7BMM7aPBe7v9De8yNuVsf6MOmjxlHMuWz+B3r75CQmIsHrcXj8fLqTPFJA1L4kZF86GlwcNrfaopaPQHnD48gYDXV+8hcXA8Gk1sfAxZ984lf/sBjpSUMnrMcOYumczh/SeajqGajhEcsLYMXl23KxgyMoU716ux2W14fT4mzBzNxbPNh7CECihPlV7mcmwFH8ldzM7fH8LnNrf5yOPLsDvseL0+3A0ekkcmUe1zs/u9Y9TcrsPutJG9ci7KrZkwaTQ3s6ooK7pE8pAEZq+YRvp9Mzm29QRXz1YwavYoineWYfgM0rKmcOfqHe5cvI3DZvVI2gCHGVCNnjuOQ9tOYtM2KipqcCbFgc9g2KSRnNtzCo87RGhga9076A8ig4PHcD2SGDrkMVpv13SzrZ5Ln1ZmEOkzr8lbUYlzpBfn4BTssU7sDhv1l68hQaTop6ZqrT8VdP9flFJF0WqMEAPdmTNniIuLY+zYsfz+979HqciSvkktSDFQbNqUx7p1uWRkFJGZmc6mTXnRblL/CiTRGp/RzrDKu5CP7n1OEhLiGTYihtNlJ6ipMRPjJCclm8GUx42PBty+msD2dlssPt0UPHpVU4DnDzC9urFpGxuUnjzOivvnkZAQx9atBdgdiurqWspO17EkaxD2GHC7m2eM9dDYrGezZa/oieNnefLzn+Hk/gtcPX+TqfPGMXr6MI7/fk/IhDtu5W0WTCaPSOT4njN43N5An+auN4q497OLKdlxCpvdxvSVU/ifN/diGBqlFD6PQa3Hg+vwFcbPHgNAfXUDDdUNLP3YPLa8fpCbVytZeM8szhy4gMcKUI/uKiPjnpncvHALrF5Lu91O9rpVnC+9yuXzN7h6poIZCycyOn0SI1bP5krBaWITYhk+cyxXj14KBITOdsrKhe2B7CT/MFpou7yIx7A1H1arFHGTJzHSXQvuRmImTaDufClGXV33NlC0oNBdybIrwqlXSq3UWu8CsDK41ke5TUL0ay6Xy+o9LAz0HqamprJ//34eeeQR5s2bx9atWyMOIoUYSFJTU3tlTmRH9KtAUqMxdOSZQkXnzF+wgJ27djB58iSmT5/O6dOnqa6pISkphekzZrL1fTNJir8n1Gc0BY7BQaVdOZt6Ia11PqMRr3Jy4dJFLly6SM7D99PgbsBb57WGpGquXb3B8BGDKb9i1msMNWwWmgJMf0CZmjqM0kPn8Xi9TMscz9VLN1GXFXHxMXjqfSGPERxM2p12PB4fGh0YHltX3cDFsuvUeX3MyBjP6dPlVN6oIibWSVxiDO56DzGxTubfO4eCd0sZP2UE0xdPxPD4uHTmOqeKLmFTsGvzEeYtncq1C+YcUA24vb5AqRCPofA0+HjzJ9uYe+8Mqm7VYWhzm9pbNez9f7uItWmSB8cxZspwPDp4PqX1hhqiRzFUT2T4jLGqqWhgJD2T7fDP1zSsn7bYWGp35+O9afZmx06YiLbFYBgNXT6XaFskJTxEh/0l8Gt/sh3gNk1lOoQQneDPsOr1bqSgYAO5uet4+um/4rHHHmPUqFG8+OKL0W6iECJIvwokwcDQ0iPZ07w+Dw6HnTNnzjB//jzuu+9eACZOnMa+gmKmz5jI6dNn8fiavxZ2WwyGzwzubMqJr0UA6P8SILj38uatm6B0YL6kQjFm3Aj27inCp63gL+gzcPB8UH9vpz+gnDptHGX5l1EoLpa50GhcV24ye8lkivaeMtvYxjDK8nMVZK9ZwI0rTcOnx88axZVzN7h+6RbDJwxF1/sYOiKFWxVV+Lw+UscPY+zkVLb+7iAjUwcza8lkzh48h89hJ23hJGqrGji08yRKwe0b1SSkxFFXZQZOTmdTW7wGOKyph55GLzabIv2+mVTdqqX4gxMYhibWBtWVDVw6cslKztM2fxAZdihrL/An2wEwGhsxGq3Xz2ZDxyRii40ldIgvupPk2uleSik78AWt9QKlVAqA1rrtyd1CiHYVFRXi9W4ExuD1rmf//pl84hPvsXDhQt566y1SU1Oj3UQhRJB+FkhqtASSrSjV8ZKebT2PBw/u5557VrFlyxaOHDET7axZs4abNytxxsD161dZsWoR5ZevU1Z2LrCfz3Bjt5lt8QeN/l7LcD3J+/cX8eCD91JSfJaK67dYuGg2lbfv0Oita7esiVc3Ntumwe0mNs6Ju8EbWJcyNJHqO01DJ334wgaTPgyOFJ4l7d7p4NHYHDbu3Kjl+iWzF7Hi8m2cMQ6mTRiLfdYEAKbMGsubP98JQOw4O4feLubq6QpmrZpK6b4zeG7WMnLcEG5cu8OYycO5ceYmdoeNOVlTuX7xlnUdGkfQMJ2x01MxPD5O7DnD3HtmMGrcEI6+X4JPEwggzSywCqdNB9Z7dFCPoqVVoh3r4ZBDUm0aUDiVbnM4rN1mHre9IbWhJKSlgVI4Bg/GtX0/I5el4UxNxRYTQ21xMdonYaXo+7TWPqXUSuu2BJBCdJPgDKt2+3PY7bB69UO8+uqrJCZGXrNZCNE7+lkgqToVNInW2noevV44evQU99//ETweNw6HHYWT7dt2Ul9vTgHavm0n9z9wL2fOnCe4FmlwMAnNA0j//Nagjji8Xi//89bbzJgxgwWLpnDkaAm1teY5/L2PwfMsW7U1aJuiolI+fu9D7H3XzGhqsylmL5lM/ubDzfZpK5isulnDiSMXqb/dgN0KtvxB3tVzN5gwaxRJSfEYPo3daWPry/vNa8LG4OFJnN93DqXAjYFNQ/np60xYOhGA+pv1TJ07FpvdxplDF3HXe3Ao8/h2h42piybi0XD98i3OFl/G5/FR/MFx4pPj8PozutqaB4Etg8lg4YaytjWv0b9fJEFiZ3o6vTdvokaOw/XhITAMyrfsZ9CcqTjrqySI7CEaMGSOZE84rJR6E8gDAkVytdZ/DL+LEKIteXmb+NSnvkhxcToZGYv42c/2MnPmTByOfvZxVYi7hPzPFCFdv17B9evmHEWt3WRn3xcIIk2aSxcvMWrUSK5e7Xph3zNlFzhTdiGQobWjvLoRr7uRvXuOkp49E+3TYIP8Dw/hVh5idPPAOVQwOXX+WOKHxHL9+m2mzhmHr9rgUtHVwDxGgNvXq/G6fVw9dwO39uG0SmF4MHDEO1nxxFLOn7jKpcs30MCsj85iyvzxpCTFU7jFzETrNQwcQTWvvFqz8IFZFG49TmODF4fTzuKPzKHo/VK01tRXNzTrsewv/DUm/VlbAbxXKrDduMOQjDRuHSwhNnU4dl8DtWfPI9lbe44Mbe0RccBN4P6gdZqgUllCiI6JjY3F6XSzZs09vPbaa5JUR4g+TgJJEZFQ3wYOHz6M4ssnQmzdmtPpxNfYfcOSWw5r9autqefAzlIA3Cqy87mVl+QhCRgxBnvzjwJw9sQV5mZMIW5oHA23GlBKkb56JreuVuFu8HDfn2dwq+IOJdsu4qk2e0X3v1/Kw+uW40Nz/vRVbHYb42eMpvCNI1w84cJrNI0XDQ4mx81MpXTfucCQXK/HR/Gu00yaP4ZzxVfabb+/V7LZuh7sgfIZ5vDWzoodMxpvfSOpKxfQcLMae5KMMuhRGsna2s2UUiOAnwJlWuvKKDdHiAHh0qVLPPTQQ5w6dYpf/vKXEkQK0Q904eOgGGi0dodcAA4dKmL1R+4N/GEfPXoUdoeduvrqVsfxGe5mZVpsNhtfffILbZ47OPNrS8FDWr26MeQQ12Bu5Q4EkR7rp39dcHDps/4BTJ0zliOHyjDQGGhAc+zwGcbMGkmd9jB16QSO7jxN5e071I24xvMvvcBvt/w3tplVDJ6UiEf78GDwp027GJw6iMGpg0gemkhDdWMgiPRq3XwxDLwaEoYmcudGTfOLsMGsB6Y36w2NVDST60QiZuQI7I1VVO8/gL51jZjhQ6LdJCEippT6ClAC/Bg4oZT6eJSbJES/V1xczLJly7h06RLvvvsujz/+eLSbJISIQD/rkZRkO6F0dN5oZ57DysoKCvYcZOWq5QDcunmLXTv3As3nQdqChqb650vOnz+H06fOk5AQT11dfZtBYzjtBY9+HuXGqdt+PtzK3Wyoqw8f9bWNJKXEN0vMk5gcT32dmWHVbrPRWO8hdUoCb3y4wzyX28ue/ftYk70G3zkDNMQ6nCQMimPa1LEYhmbMtBGcLbiAN2iiogcDJzYzSDQMLpReZWr6eM4UXQpsM/eB6Rw9Utas3T4NGBBnjQD1GOC0tXg8KMVtyughDJ08AsPrw+awc/N8BZVBGWlbPXeGwm63ypG0EYz6k/FE0ivpC3GcO/sOBm57b1dya+uO9g8kOs2cIxntVgwofwOkaa0rlFJTgFeAN6PbJCH6L4/Hwyc+8QlsNhu7du1i3rx50W6SECJC/SyQFKH0VnBdW1vHzvyCiLZ1OBx86Uuf4/SpczjsTnbtOMi9962ioaGR1NRR/D7vrZD7+bQn7DzJlsFkqODSpzzNyoX4aH4/nOIjp7j3oYXs2HyYj+Yu4b28/Sxelcaud4rRSuNz+jCUptZTHShVYrMrvI1eqr1VuJU5LDU+KZYD20q5esaslXi5/AYkOai72bxOucfqCU3Ayc2bNYybMpyFq2eRPGkQlZXV3Kq9Q3HxaRZkT8NmtzE0MZnz206B12cm3fEfJ3C7+fBWR6yDYZNHULb7VGDd1OXTuV1RCw2eZsfwc9oImbQnnK4OcRWin3JrrSsAtNZnlWonvbQQok1Op5NXX32VMWPGMG7cuGg3RwjRARJIiogF1/C0hekFNbQHm3Li9Xr5wx/eZMWK5ezaXojH46Hk6BlmzJ7An15/N+S+PqMRuy22WZ3JVtsEPRYq4PTQiKdF/UoPjThp/lnPp4KOg3mcbdv2kXnvHGyJPlZ/JoO339hGg2rEqWLZV1LMknvm0qCrAI3dacenDHzaR0xMHFW2GwBUVd/BWRVDjPX81Fy4Yib1UQSG0Tad145PG9ixcfLQJeJiHUxqGE+ds5Ed2wvRWnM6+QorsxdSuv88g+aOZKgzlorC882PYwV+wT2Ko9PGc37/mWbbnd13hvHpkzi17xxtaS+YDM7q2laZEK9hs7aRaDPaJGtrtxqnlPpRuPta6/8VhTYJ0a9orfn+978PwD/8wz+wZMmSKLdICNEZEkiKTvEHlaECSv9Q19u3Kzl/4Tzx8XEkJsUzYeJYfEY9ixbPQikHBw+U4PGEDxrbE6730h80+gPKlkEkNAWPfsvvm09DYwPxSTG88cetrFy5iPSFsxgyNIUd7x3i9q0qCo4cYfny+Xz28Vzeevdd6mrreejBj1J+qqbN4bRDRiYzadZo0GbW1/Mnrwa1w4ZTmWNVvW4vJ3afY/ryidjtNmLinMxJn8qffm4O/bQpxfDUFDJnj8Z1/GrIcwXTQYkKEoYkSuZOIbrH0y3uF0alFUL0Ux6Ph6eeeoqNGzfyhS98Aa21JNYRop+SQFJ0SrgeSfOxpiBt0oQJTJpow+W6xowZEyk5cZhdu3bjdDp5OOfjvPdOZENlu1PLIBLg+JFzzF44gQ+27qS+vpF3Nu9g+cqFnD/lwvAo7DipulPDu+/swWazMX/+Mhw2Jyd3ufB6w9c/TB03lBGjBlGQfwSAsRNGMjtzEsetXkUfhlWbwWyT1zCIGeLko6uzSIiJwx3r4yN/toQ7N2o4cewiFa4qvLPGNx/eSnAvovlmfLb4EtOXTeXKkYtMXDiJqquVJA5NxJYQBw47Pk/rNvt8TTUmne10Ivoi6GRs8Nmp9jhp9HaupIvoPm10HIsO0lr/KtptEKI/cblc5Oauo6iokHnzFhAb62Xbtm1897vf5Xvf+54EkUL0YzLmTPSoG7du8vbb7+D1ufnDn35LTY2ZndTj8bB7Tz5z5kyLcgtNNTca2ffhcRYvnQ/AiJHDaLitOXeqvNW2hmFQWnSekkPn2wwiAcZNHcnhg03zFK9cvE5MYvjvbxw2G7Y6xfH3zlJzrZb4mzbunL7J5T0XWDBrImMmDMPpaL/eos/t4+ppF3MfWsClA2e5c+UWFw6e48y2UmYsndzu/u3xB5yiP1DdsAghROfk5q6joCCN6uqD7NlzlG3btvNf//VffP/735cgUoh+TnokRY/aW3AAgITEeK5XXOd6xXVs1lDOGzduMC8tucfO7SS21XzJZo+3GI46c9ZkfF4fax68l9qGWhxWz2pgO9V6f3/2V39ZkRgd06zEiOEzsFk7GtbgUp/Ph1IKrXWzoa1+R7edBiAxIZaygvPU1JiJes7sP8+Kz2RyafupZts7baHnNN65eoeb5ypoqG16DrQGm9H1/qmWdStF32Ul+xVCiKgoKirE690IjAGeIT7+X3jyySej3SwhRDfoZ4Gk6nCpC9F92hrO2rRN82GMdpu5T9mp88yfP5+zZ89iVw6UUsxfMJ9TJy4Hbdux5IfhsrsGazk/suWw1sTkeGqrzUAtZUgC5ecrKL58nviEWFauXtBuKRG/4HIi/tt27DjsDux2G76ggDIhJh6n0Tx4dChwKIVXaxz+oNBn0FDdQGJiHFppbErRWFFP7e06WgqXIMdmpVVtVo6yG1KtegwlwaQQQoh2TZ48mWPHvoZh/BSHo5xFi5ZHu0lCiG7SzwJJW0TBjOgZLYPElvxBY6h9blTc4ZGHP0vqsHGcv3CWSROmMWXiLK5e3IPdFktiYjzz02ejNNTVNXK0uKnXzdGB7PqhEutA6HmRAA9+ej53rhpUV9ZSUniGurpGUFBf18iWN/fjpOmanDoGj2q71MroScMZOSEZQ2vcVQZH9pSR/cBCLl12UV/bwNQZ47lw9FpE12JzmsFmo9WjaFOqw4MM62oaSRk9hDvlZv3IkTNHc6P8Trv7hSoP4tfe/MmmYyjrZ/tDcUXP0pK1tdsopX4M4XNXSdZWIZq89tprnDhxmPj4UpRKJyNjEXl5m6LdLCFEN+lngaToT4IDz+TkJM6WXOfUsSpSR82hrOgWxw/sZVH2LGrrali0JI2tH+xEa82wYUNYsSqD3TsP92j7Zs6dRNm5UmLrR3KqwMWiVXM4fuo85dddgW08yh3olWwriHQrNxOmpeKJqWHrziMoFCNHDmXWwpkceO84CSPjiIuLYe+WEnMH63N9vHVsrwb/Z1Ov9RH17PGrzL1/NueLL+GIsTN5/jhOFZxp/RHWaKoB2XIM45nDlxg9I5XxS6ehAdelW1w7fzv8k2IFiW2W/wiqXdkWn1aBEiAiinSLHmnRVQej3QAh+jqtNS+88ALf+ta3WLFiBW+88QbDhg2LdrOEEN0sKoGkUioX+GdgNrBEay1vzANcUlICNVX1eDxeyi9fD6w3fLAgYzZbP8gPfNi9efM2lVW3SU5OpLq6tt1jOxwO5qfPwOG0celoLfV14edFAmQ/OB8dW40dD2++tY1ZM9IYvXg4E+YNwpEwhfL3XW3uH87wscls31GCVgZoG67rN5k124dbeXFX1ISuI9kia2uwW9eqOOA6zvhZo/B6vBS+V4JDKRxWbObvGfQHkKF6Cn0aLp90cflkx67J107gYVdt91r6ebXC65MeSTFwSNZWIULzZ2c9fPggKSkJlJdf4NFHH+Xll18mLi4u7PZFRYWkp2fy4ovP8tRTzwTu5+VtIjU1NQpXIoSIVLS6C44Bfwbkd2w3A0O779qlu3S+DZ5AjchQfIa72eLf3tAeLl+5zKgJg9FoDO1DoxkyPJnbVS483nprnYEZVWlcrusMGpKIT3vw6ka8upFGowaf9jRbBg1NZFn2TPYV7mBb/nuMneNgwtSRrdtGU7vz3z/C7Uuai1cuUlNTS/HRwwwfMpL3/98R6qvNHsjgJcZaQq23W/9idAzaq1EolLaZP1H4DG/gvPYW/yKhtebi8auUl1UA4JWuJdEJuouLaE0pNUIp9bxSarNS6kP/Eu12CREt/uysNTWHuXp1CGPHTuLVV18NGUQGb19dfZiCgjRWrMhpdj83d10vX0HPcrlc5ORkk5qaQk5ONi5X5760FqIviUogqbU+rrU+GY1z92d9JSANDhDbCi6Dg0qA4tKDZN03h1lzJ7Jw6XTGTU/m4KFC6uprGDQoBdCBf1OnTeL8hfP4jMamwNFobLXMmjOOze+8Q31DPT7DR/6unQwe3X6QdqroKqkjRzJ79hwcDgeeajt1NY3YYsLvG9NO4h2nLRans3knf1JMEjE6fMe/vQv/BT1G815Bj2H2JAYvobZvuU3w4t+m5bFbaq/HEsBjzcvzaSVLB5bupgFDqy4tIqRXgOPAZOBfgPPAgWg2SIje5HK5yM7OISUllezsHAoL9+H1fgwYi9b/Q1VVHTZb+Pc4M5vremAMXu96qqpuNrtfVFTYW5fSK9atyyUtrYDDh6tJSytg3brcaDdJiC7r83MklVJPAlaeaPlA01eFCyZtyhl47PzFc5y/eI4Rw0ZTW1uPx2OuP3igiNWr7+HGjdtUXL/JzFnTuHr1Gl6fOUTV8LU+ts9wY7fF0OiubzYBzMCgtvEODdQE1vkT7fhLgTiJZeK8USQPGsQDSz7B7ekVDB+XQsqgIRTsOtbp5+Do7rPcf98KXJUufB4fo0aOouxgZIl1ImFmdG39f8BjEPhKqOUA2UiGnwZrmf21zf0jiIFljmTfIL2KPWKY1voXSqlvaK13ADuUUhJIiruGv0fR693Inj3/hNZVwCeAIhyOH5Oentnm/unpmRQUbMDrXY/DsYGEhGHU1TXdb2///qawsIiNG72MGQPr13vJyCiKdpOE6LIeCySVUh8Ao0I89F2t9RuRHkdr/RLwknlMu3we6mdCBZiVlVWt1n3wwQ6GDBnMyJGp7Nq5H5/P12qbUJyO1r2EcbEJ7e5XVVnP9tdvYBinmTNvCoajnh3vHW5V7qNlL2TLupHBfD6Dgx+cwpYACY54yovLzGGvbfw382Fgx4bXMMBm/QQc1re4XsPAYWt6HDQNIZ4abyBDqnnfP18yVCDojSC4dEQQ/7XXK1nrVTiVjQZfn/++SojO8P9xu6qUehgoB4ZGsT1C9Kqm+pCX8fleB3wsWDCTs2cXB+Y4tiUvb5M1RzLDmiO52ZojmRHR/v1NZmY6GzYUsH69lw0bHGRmpke7SUJ0WY99wtNar+6pY4v+zT/UtaXbtyuputO6RmJbxyk5dpqcnI+ybVs+jY2NZK9axc2rbSfbAXBdaiqBceTwaYBmQWRwABlqPqN/fmS8jsGHgTuoF89X56Med7P9Wg5vdSsvMdqBHRtOFXkyGq+mqc5ks/XNeyvD9SR6jbbnWfqPEUmwGQmPVnikVzLqZGptj/i+UmoQ8LfAj4EUYH10myRE70lPz2T37q9jGO8AsWRmruTgQTP1RctEOqES56SmppKfv7nZupb3B5JNm/JYty6XjIwiMjPT2bQpL9pNEqLLpKtA9Gu3blWy/cMDZKRn4oxxUnbsBu76pk/NEyaNJtYZx9nTlyM6nj+AbC8Zjplgx2EGgbp5oOhWze/750H6gmpztDVvEiB5RBJT08bidXuwOezcrqjm0nFzmGzLQDAQ/GkNRlMw6e9V7EhQGO7YnWHWkZQIJtpCVIUR3UBr/ZZ18w5wXzTbIkQ0vPbaL5k9ey5VVV4WL17OG2/8JvBY8LDXgoIN5OauG9BBYiRSU1PZvLmDOSaF6OOiVf7jk5jf4I4A3lZKFWmtPxqNtoj+y26zajB6vRw8eASAJOcoHCo2sM24caOwKXvEgWRfoJRiRvp4ij84Hlg3buYoho8bwo3LrWtAhps7GSqAVEoxJWM8KsYOPs25QxcxfOHDjHC9lw6l8BqRDYGVeZLRJ+F891NKbSLEU6u1/vMoNEeIXmMYBrW1tYwaNYr9+wv40pe+xtGjxeTmrgv0PJrDXv8viYmfwTAOU1zciMvlknIeQgww0cra+rrWepzWOlZrnSpBpOhOY8eNZNmKdJauWIBN2dAGLF0xj2Ur5jN+Yqhpu504x8ThZN07h8yVM1h63xxiYrvvO5mx00dy8eiVZusun7zG6EldL+Y8Z/UsSkouc3DXKY4WnSdt9SxUF3od29NGjCpEf/cW8La1bMUc2lrT5h5C9HONjY184QtfYM2aNbjdbr785W+wf/+CViU70tMzSUp6mK98ZQ9lZTWsW+dhxozxZGfnSNkLIQYQ6SoQA87NG5UkJsZz7mQ5BTuPsG/3EU6fuEh8YhwV11v36HXU0JEpTBw5gpM7z3BizxkuHrrMxx5fwbzsqczNmhpyH7vdxuS0MQwbPajd43vdXhzdGJj6jZo+kqOHzlNf04jW0FDn4dDu04xJG41X6w7VqPRv6zXCL6Lv0KguLaI1rfUfgpZXgE8Di6LdLiF6SmVlJWvWrOE3v/kNjzzyCE6ns1UJD3/JDjNRzjWeecbHmDHwzDPg8cRGrT5kJDUcpc6jEB0ngaSIuuBalOES8fgF16UMt21Dg5ut7xeQvnhGYN3CJbPZ9v5+GurbT8TTnpmzxnOm8CIA8Ymx1Nc3cGL3Gc6dvsLx0rOkr5jebPsx04YzJTuVU67TuFPqWLhmOjZbUGIc7cOrNQ0+H/Xax+VzNxgzaxSg0NpMlDJt8SROlVyhweejwWe0Wmq8PhoMTYNhBBZ/cOi/Hzs0gRtX7zQrNF91uw5nUixebSbyMY8R6WK0vfigwVA0+OyydGDpbmYdya4tIiLTgZHRboQQPeHSpUusXLmS3bt38/LLL/Od73wHpRTp6Zk4HBuA8mYlO1JTU1m1ajkbNjgoL4dnn7Vjs2VErT5kJDUcpc6jEB0nyXZEgNZtB3GRdDLZlDlv0WjnWM2OG7StTTnbDSaDtdzWq5sCxcaGRrIfWIjNZsPr9TbfD0+gvmRLbuVuO+lO8AdrZZb9cNd7iIlzUnGtEmVTuJV5vhjtIGl8LPk7zPJyt29Vc+nCVZYtz+TErguB8h+eoGfXg8HeHSeYv2qq2bVnV1w8W8GNG1bZFN36+x9zzqK/REiohkL5SRdT54/j9JFLVtMV46encuPCrZDPQ1d5DDPhjlcK2kedZG3tfkqpapr/J7sG/F2UmiNEj9Fa8/nPf55Lly7x7rvvcv/99wcea1nCI7hkhz9L6cyZe4BR1Nb+OGr1ISOp4Sh1HoXouH4WSOp2gx0RXR0JIEPv37rupE05I97GZz02ZOggho9O4dXfvYVNO/nkpx5kcGocrms38CkziPTQiJPYwE+f8uAJUR+yZS3JS+UuRk4dhuvMjcCnyNSZIyjaYgaLPuXDh1nsMXZ4POXXXRhotLV1g9uN29bAHVt14PgtA9aq2no+2HaozeeqWeZXbWaHdWo7zqCBBg6lAsNQa65XMWviUGYtnszlMhdjJ48gNi6G0j1n2jxPsNHThpMyOhmAystVuM7dDLttnBXU1nj62Z8ZISKgtU6OdhuE6A1KKX7+85/jdruZN29es8dClfAIfmzz5vygUiAPRq0+ZCQ1HKXOoxAdJ5/wRL8SKohsud6nPdy4eYNfv5yHXTkBL3/Ie7fZ9v4eSQ9mD2YgmPTXGA/qRGsZXJaeq2HBgunMzJ7MoKQkaj2NHCg6iVaa2Dgnhs1Lrc3MueGuaWDu7EkYqnl/rrYbNKjaZsd36hg8yt2snmWowNYvVN3LeB1Lg7XOjq1VTslD+0/jTHAwZtIIzpwqp666gUhNmTeGW3XVFO0sQwNTZoxhxKxhXLDKkrTUYNhx+Gw0+KRHMtpknmP3U0pt1Vo/0N46IfqrX/3qV+zdu5cXX3yRmTNntno8klqR0Haw2VsiqeEodR6F6DgJJMVdwasbm5UFCcUfTEaiuPg0pfoCscSycOVMJs8cw+SZY1A22LXzcNMxPV60z8aYcSMov1yBUoqV9y7kaNHp8O1oEUxGIng4bnsa6tycLb0SqG/Zki/MIOa4IbFcOHY6EJKcO1XOslXz4HjIzUVfoWVoa3dSSsUBCcBwpdQQmr52SgHGRq1hQnQTrTXf//73+cd//EceeOABGhoaiI+Pb7Vdf6oVGUkNR6nzKETHSSAp+o1wvZGd1dY8yUhprSnceQJ3UM+hVs0/tRftO8XkGWNYvnIcWsORA2eorqltdazg3se2eiLb4lbe5kNeWwgOEsMFjGH3NczhujrEulC81oYemSMZVZrI5jeLiP0F8DfAGKCQpkCyCvhJlNokRLfweDw89dRTbNy4kS984Qts3LiRmJjQX1KaGVs30pSxNaN3GyuEiDoJJEWf15EA0mc0YreF7lUMTsQT3DvpH87a1aCyLedOlXPuVHnT0NkgodaF4h+GG9jPuobgdsfoGNzKf9v87+1P/NNVMXHOwDxPAKVsxMbEhA1IvYaB17Dhk94wMYBorX8I/FAp9dda6x9Huz39jcvlYt26XAoLm4YPSpH6vuPxxx/ntdde47vf/S7f+9732qwznJ6eSUHBBrze9SGT6EQ69FUI0X9JICl6XXBCnvj4eFatuo/a2hpsNhtORxzbtxd06fg+IyjgCjF606Fim4JK1TTsNdKALkCF7jls6zjBwWBHekQjapsyA0l/oh93mPd//+MhM9K24dj+s9zz0YVcuXQdm83G6LHDOZR/ss1AtSO1KUXPkZehRxhKqcFa60oAa5jrZ7XWL0a3WX2bv8TCxo1eNmwwSyzIcMK+Y926dTzwwAM8+eST7W7bVsZW6F9DX4UQnSOBpIiqlSuX8t5776KtT7pJScksX76YPXsOdup4hva0yvIKkJAQz8JFc/B6PcQ44jhSeIb6+sZAQNmZYDLcnMqWPYfBgo/v1Y1429g2mL+dsbExZGTOxKc92HUchw+ewmcE9aja6PD8ykjV19Tz4fsHGDwsGW0YnDl2pe3ttQ+HYcNjSLnaaJM4skd8VWv9U/8drfVtpdRXAQkk2yAlFvqe48ePs3//fp544gnWrFkT8X7tJdGRoa9CDHwSSIqoqq+vCwSRADU1Ndgj7CgztDtQt7ItNpuNldkL2fz2FsAckvmxR9bw4XuFzc4dnJAnkoAyOOtrsPb2DQ5em+3X3hBe5WX5PfN5a/Pb+Hw+4mMTWPPRHLa+ZwbdDhVr1rUMMeQ1VNvC9Ya211Naccsq+dFOfJjki8dr2GnwSSAZXQpDsrb2BLtSSmnrj4hSyg70zLc4A4iUWOhbdu7cydq1a4mLi+NTn/oUSUlJ3Xbs9oa+CiH6P/mEJ3qdTcUEFru99XcZSkX2axlJEAmwIH0W+Tv2BO5rrdm+Yxdz50+LrMF9gM9oJD1jNlu2foDPZw5NbWxs5MDBvUyZOr7tffEElnDrw20jhAjrXeBVpdQDSqkHgN9a60QbNm3Ko6Qki4yMZEpKsvpViQWXy0VOTjapqSnk5GTjcrmi3aSQXC4X2dk5pKSkkp2dE7adr732GqtXr2bkyJH86U9/Iifn0+3u0xF5eZvIyiohOTmDrKySqNSPFEL0LAkkRVQp7CQnJwfuTZ0yhYqK2916jri4WGpr65qtq6mpJSExrlvPE4ng3siJk8Zyzz1ZrFy5hHvuzSJ11PCQ+/jnfMbGOqmra7oOjebq1WuMGDm42fb+XtKuBIbhgkwJOPsp3cVFhPJ3wIfAX1nLVuDpqLaoH2gqUl/F5s35/Sr5in9+5+HD1aSlmfM7+yL/3MTq6sMUFKSRm7uu1TYvvPACjz32GIsXL2b37t1861v/3O4+HeUf+lpV5SI/f3O/eq2FEJGRQFJEVX7+PubNS+eee+7h/vseICFhMMePh6+x2BnHS8+wMHN+s3WLFqVTeuxss3Xt1ZkMxUlsq3mSdpwhF/85HCqWwSlDmDBuAgX5xezffYw9O4pInz8fm631f0m7LRa7LZZLl1zMmD49sF6hWLJ0MSVHz7RqkxB+/vIfXVlEa1prQ2v9n1rrR7XWjwKlgGRxHcAKC4tYv75pfmdhYVG0mxSSOTdxPU1zEwtbbWMYBo8++igffPABw4YNa7HP4+zevbdbeyf7o/7SAy1ENPWzQFKhVIwsXVz6mr17D7Bz5z7y8/eHDCJtyhkygU4oobarrKzC49bce98K5i9I4/77skmIG0R8fFy7wWNwEBgqMAxHKUXWinRWrVzMqpWLWbR4brN95s6fwf49R5rtc6DgGOkL08Ie89LFclJHjmN5Vhbjx40jO3sVNl8iNTV1IbePpJ3hhAuGI71+0bdo3bUlEkopu1LqsFLqLev+ZKXUPqVUmVLqVWX98VFKxVr3y6zHJwUd4zvW+pNKqY/2wFPRrZRSGUqpZ5VS54F/BU50wzHvuuexvzDndzooL6dPz+9MT8/E4dgAlDebm1hfX8/hw4cB+Nu//VteffVV4uLiWu0Dj2EYT3Rr72R/1F96oIWIpn4WSIru0NcDTH/g2DKADLUuFH8Pnt0Wi105sSsnJ0svsHdXCTdctQxKHIG7SjFs0AhWP7ic4UOHBwLKcMFSe4FTy57JFSszOFl4mcKdJynceZKrZ26TuWhO2OMoVLPEP+Ec2HeU48cukRA3nKOHLnP0SFmrbfrK0NZw9SXFgPUN4HjQ/X8HNmitpwG3gS9b678M3LbWb7C2Qyk1B/gMkAasAV60Etj0KUqpGUqpf1JKncDsgbwEKK31fd1UV/KueB77o/4yvzPU3MQbN27wwAMP8MADD3D79m2UUs1GwATvY7eXY47SDt+j2VH9sXevv/RACxFNEkjepbR2t1r6CkN7mi1dEZwJVWvNvLmzyX//ECdKz3H29GW2vX+ABRmzGTI0hY8+ktWhY4caQuoPKO06hsZ6D8r6d/tmNYnxiYHtjh89z6Jl85rtuzhrLkWHSkJfR1BtzPr6Bi6cv0yDuz5spte2SpB4aGzzcTHw9PQUSaXUOOBhYKN1XwH3A7+3NvkV8Anr9lrrPtbjD1jbrwV+p7Vu1FqfA8qAJZ264J51AvPaHtFar7SCR193HPguex77nf4yv7Pl3MSamhqWL1/OoUOHeO6551i79vOthq0G77N8+cqQPZpd0R979/pLD7QQ0SSBpOhXQgWXM2ZM5Z57lrB8RQar7slgyJCU8Pt7daueP0+jh+mzx3Gz8kaPtNkv+LS11fVcu+pi1X2LWPPICj712Qeoa6jGMEL34tltsa3u+3tbQ2lvnqTMo7x7aMDQXVuA4Uqpg0FLy2rl/wE8Q9OUymFApdbaa92/DIy1bo/F7MXDevyOtX1gfYh9+pI/A64C25RSP7cytnZXfZX/oJeeR6XUk/7Xs6KiopuaL/qa/fv3k5WVxc2bN9m6dSu/+tUf2k2q0xPZVvtj715/6YEWIpqkjuRdqC/1PnbVqFGpxMUptn64FQCbsvPwwx/nwy1mbcVWAZjd+u5Ea4YMH8SSlbOJibNx7vwtLl+5zMIV07HbbRhexf49JYGhqP6hnMFDUz00BgKylj18PpsHZ6wDd6O5X/KgBBrcDYHjeHUj167eYNKMYeS98Qc8nkZGjBzBynsy2bXjcHc+Ra1IECk64YbWelGoB5RSjwDXtdaFSql7e7VVUaC1/hPwJ6VUImbv398AI5VSPwNe11q/35nj9vbzqLV+CXgJYNGiRZKbd4D6+c9/TlJSEu+88w4zZ860kupspGnYakarffy9k92pP9YP9fdACyHC62eBpB5QQdDdygjzGvrXB9eHbLlty/vTpo9n+/YPA/e1Njh0+ACTp47jTNl5MMAXFOSdvXiamXMncOLYeW7duE1NVR3u6jvs2Gm+Wbi9bubMnM3ugsP4jLZHqzlULI3UhHxs286dZK9ags2IQSmo8dxh+57tgcd92kN6+nzefuctPB4PGo3ruovrFVdITomlsrKqzXN3hT/olYDy7tHDUcIK4ONKqRwgDkgBfggMVko5rN6yccAVa/srwHjgslLKAQwCbgat9wvep8/RWtcCvwF+o5QaAuRilgTpVCDJXfo8ip5RXV1NcnIyP/3pT6msrGTkyJGAmVSnoGADXu96HI4NzJkzl+zsHIqKCklPzyQvb1OPDNndtCmPdetyycgoIjMzXXr3hBggZGir6HMM7Q4snaEAn8+Nz3C3mm958vRJLt88y8IV08lcMYOzl84yYcI4kpITGTJkEFlZi/jwwwLc3gZ82tPm0mjU4NWNeHUjjUZNs6XeW8V72z7gnR2b2bx9M/m7dwf2c/tq8BmN+Ix63B43mqbUmBcuXmTUqBEhrysxMYGVq5awYuViZqdNDhwvlK7MgYx0X6kl2U90MWNrezmgtNbf0VqP01pPwkzy8qHW+vPANuBRa7MngDes229a97Ee/1Cb483fBD5jZSOdDEwH9nfjM9FjtNa3tdYvaa0f6MIx7vrnUXSdYRh85zvfYdGiRdy+fZuYmJhAEAmth62C6vb6kaFEOr+0PyblEeJuJoGk6HNsKqZZr2RbTpw4zcKFC5uty8jI4MyZ82H3uXypnA93bGPrjg8ZOWoIrms3uGfVSpYsWooC7l+9otU+ZuDXfAHaDObaU1/nZsiQweYdZU6xmpuWxtmzl1ptm5ycxLKsTHbvOsjuXQdpaPCw7s8fY9nSRTidrQcWdKW3UXoqB56eTrYTxt8B31RKlWHO3fuFtf4XwDBr/TeBbwNorUuA1zDrMb4LfE1r3S1JbPo5eR5FRBobG/nCF77AD37wA+677z6Sk5NbbdMyEU9p6dF2a072pv6YlEeIu1k/G9oq7iahgkn/On9v5fXrFaSkpHD//ffj8XhIiE9h395jEZ9DaQfgYOt7BQBMmTqeRUvntdqu5VzLwHor2U1Hgkm7LRaf0ciR4lPce/8yLl0+z8VLV0hfMI+6Gi9ut7vVORcuXMC2DwsARVraTAYlDuWN17ahNdx//0r27T9ETWVkQ1a7K1CUWpKiJa31dmC7dfssIbKFaq0bMIeBhtr//wD/p+da2D/I8yg6qrKykk9+8pNs376df/u3f+Pb3/42SrWfA6rlUNfuyNDaFYWFRWzc2JSUJyOjKKrtEUK0TXokRZ8VanhrqHVlZWfYvn0Pu3cfYNuHe6msvBP5SbTBu283TaY/e+YSVy733lCa7R/up+q2l9nT51F6pJxjR08FamAG8/l8gWyzo1PHUHToBB6vF5/Px7b395O+YF6gFqZftAM9u/x56RM0ZgrQrixCiM7rjeGa/+t//S92797Nyy+/zHe+852IgkjomQytXSElN4ToX+STnuhXIh3yGilD+YiPjwvcHzpsMLX1dSG3Da7l2BUf+0TzaVQVFbc4cuQEDQ2NYXs+PR4vycmJ2O123A1m72dsbCwejzlizecNUzakB4LJaAeoouN6co6kEKJtvTFc87nnnmPLli08/vjjuFwusrNzWtWKDKXlUNdo18aUkhtC9C8ytFXc1fJ3FLBy1TLsyonNZqO+oZ79+4pabReYE2mED/Yi4XQ6iI+3M2r0SK5dvR7xfoUHj3Hf/cu4es1F8uBEkpOS8Hq8gU/5dof5nVB3zm+UgHHgkFhQiOjpqeGaW7ZsYePGjfz3f/83qampgSAwN3cdBQVpeL0bKSjYQG7uum4v59FTpOSGEP2L9EiKfqWzmVzD0VqzM7+AnTv3sWNHQcggsjtk37uYZcvnsyZnFXl5f2LpsvlkrVjIg2uysdna/2+otebDrQW4rt3C7Wlkbvp0vB4fySmJfOSh5RQdKu32NvvwhFyEEGIg68hQ1Eh6/zo6XDOSY/7qV78iJyeH48ePU1lZ2ewxs1Zk30mgI4QYuCSQFH1OV0p/dFbLbKyRbAuRZ209e+YSzhgbf3z9derq6sjLex2f4ebCucsYhhFxG27drOTDrbs5cfoEn3niQR54eDGVNTeZPnMCXt3YrHRHTwV+kR7TJ7Pr+gxDd20R4m7SkaGo/t6/tspndHS4ZrhjulwuVq16iNjYJL70pS+RlZXFzp07GTGiecmo9PRMHI4NQHmfSKAjhBi4ZGiruOsY2oNNhR+22V1zIYNdvnSNmzcqWb58Cfn5e5g2bTLXXbc4f7Y8bBtCDaH1ty1t7jReeunlwPpRo0cyO20KZ0uvB4LJcMNc23s8UtI72T9oZJ6jEB3RkaGoZu/fRpp6/zJabdPR4Zrhjpmbu47du2+hdS1KzcEwEhg0aFCr/fPyNpGbu46iogzS0zOjnkBHCDFwSSApepXWblSLhDmh1gUL1zupQ6w3dIvjhOkU89F8X7utab9QQaYRqtexgx1u02dOw+1x83DOGipuXSchLpGzZy6EPac/aPQHlP77Q4YM4sqVa822vXb1OrNmzOxYg8RdQ+JIISJnDkUtYP16b7tDUXuifEa4YxYVFaL1r4F9aP1ljhxZGHJ/fwIdIYToaTK0VURMa3dg6ez+nXmsI/zDYpsWT0SLz3DjM9zWMVo/HvpcHeuRGzZsMDeu1/Dee9u5cPYqQ4e2/iY5nOBeUq/XR0xM68A70nTvQgghwuvIUNSeKJ/R8pg//em/82//9m8oFQu8A3wFh2MDc+bMizg7qxBC9ATpkRSil3ywZXfg9s2bt3n99c3NekLDaTnUtrq6hhEjhuF0OvF4zGA2be5MLl+o6N4GiwFD5jkKEbmODEXtid6/4GMeP36chx56iEuXLgOfBY4Bc0hISAGm99vsrEKIgUECSdFhbQ1D7W8WLpxHcnI8hqFxOuPYu+doIDjriJa9k+HmYLbVu9nWvM2Wdmzbz4oVS/H5vNjtdsqv3ODypWvEqqTIGx2Gh8ZuLSMihBB3M5fLZc1ZLAzMWYykXuPOnTtZu3YtTqeTuLgU6ur+HRgDlKN1BqWlx/B6X6at+ZlCCNGTZGirGNCCh7m2NH/+HK6UX2Drh1vZtv1Dtm3bwvKV8wPDXNtbzOOHHvoabgitn39//8+O8nq97N55iN27C9m98zDnzl7q8DE8NIZcxMCiMafzdmURQnReqCys7ZX4yMvL4yMf+QgjR45k7969ZGYua5WJtbuzs3ak7IkQQkCUAkml1HNKqRNKqSNKqdeVUoOj0Q5xd2kZUA4enMSVK1cC971eL6mpQxk0KCWi43U2CBRCCHH3CFXXsb2yIT6fj6VLl7Jnzx4mT54cci5md8/P7EjZEyGEgOj1SG4B5mqt5wOngO9EqR2in+qu5DzNjonGZlPMmzerU/tHGli23K693s2wx+lgsh9xl9Jm+Y+uLEKIzgvVcxgquPT5fBw4cACAz3zmM2zbto2hQ4cCTfMmq6pc5OdvJjU1NeS6rigsLGL9+qayJ4WFRc0elx5LIURLUZkjqbV+P+juXuDRyPZUA2p+XrR0Ngjr6nPv399m/fT3DgYf1xbmHC2HpnalLYZ2Y1Mx3LlTy+jRo4mLi2HEiBHY7XZu3rpJQqKDRYsXoLWPM2WXqKy8EzLAsyln2KCw/TY0Ha/l3Ej/Y+3VugyUBQk6lkPFYqf5ftEcruqVKKRPkFdBiOgJVdfR7JFsKvExb146ubm5vPXWW5SUlDB9+nRstt79rn/u3Dncf/8+bt2CoUPN+8H8PZYbN3rZsMHssexIfUwhxMDTF5Lt/DnwargHlVJPAk9a93qnRQNcuCCsJ3r52tIyoAwXRIbatjsUF5eQsXAOY8eOYsSIobz99jvs3bsfgPHjx5ORsZAjR0q7LUFO8H4t+Qx3qwyunT1+d2gr+HQS26GEPB6ZZBdlGkMCeiF6VXsJdoKDy7S0ebjdd/jTn7awYcMGpk+fHpU2KwUPPQRPPw3PPQdHjzZ/vLCwiI0bm3osMzKKotJOIUTf0WNfdymlPlBKHQuxrA3a5ruAF3gl3HG01i9prRdprRdJICm6W2FhEW+++S6//tXrZC5cjNYarTULFy7i7be20tgoyWeEEEJ0THtzIP3DUouKCrh58yLHjh3j5z//OX/4w3tRqwt59GgpTz8NY8aYweTRo6XNHs/MTGfDBgfl5bBhg4PMzPRebZ8Qou/psR5JrfXqth5XSn0JeAR4QGv5ulz0rlA9m43uBnIeyqGquoqqO3e6tfezvXOHGiZrt8W0PWfS8G/XvGfQhwc7zrC9ij7MY7YcAhsp/3Hb65V0Ky9IGZGo08jQViF6mzkHciNtleZwuVzcf/8aLlwoY8GCpfz857+hsHBhr9eFdLlcrFuXi8dTy3PPmUFkqEBx06Y81q3LJSOjiMzMdDZtyuvxtgkh+rZoZW1dAzwDfFxrXReNNggRLC1tFklJg/jgg90cO3aSufPmYLfbO3SMngo82+MzpNdUtE2S7QjRu9orzVFTU0Nu7jouX/44sJ+SkhXs23cIr/dXwFfweh9i9+69vdI76Z/7uG2bwTvvwKxZdkpKspoFiv5gs7CwKYjsanIfIUT/F62srT8BkoEtSqkipdR/RqkdQgBw5EgJb77xHoZhUFVVxU9+8hI+ny/azRKiW+gu/hNCdExe3iYyMw9jt8/CMH6B290YCAZ/9rOfMWPGDA4d2o/P901gEV7vNzHHDhQBc4DPYBhPhB0a25382VoXLIAPP4T4+AQ2b85vFihKaRAhRChRCSS11tO01uO11unW8pfRaIcQQgghRHdLTU0lJiYGpf4CwzjGwYMzyciYRWJiLE899RRpaWksWLAw0GsJzwKLgDHAN4FqIA9Ix+s9zKFDB3qsrZHMfWyvNIgQ4u4UrR5JIYQQvcTo4iKE6BiXy8Xu3XsDQ1VjY/eQklJJXZ2bBQsUdnsDf/zjy2RllZCcnEFKyh+x26djBpXPA8OAT2P2UM7Hbo/vsbZu2pRHSUkWGRnJrYa0+kmiHSFEKBJIigClYkIu/sf6ApuKabNMSEeP0x3H6nQbbLZerxMm7j66GxYh+jqXy0VOTjapqSnk5GT32JxCl8tFdnZOq7mLLdevXft5DOMJ/ENV3e5iTp6Ef/s3ePttzeHDxYHMrVVVLk6dOkBi4tvANOAI4Aa+hdlD+S0Mo6FHridSkQSbQoi7j3yKFaIT5syZyT33ZLFiZSb33pvVocQ8DoeD1avvISsrk6ysTFavXoXTGZ16kUIIMRD01hy+cGU9Wq4/eHA/8DT+oaoxMTY+9jEbTzwBzz8P8+bNaRZ4AmjdCCwHZgAxmMNdy3E4XiAjY1GPXA9E9tylpqayeXM+LldVq/mTQoi7V4+V/xBioJo5czoNDbVs21YMKJxOJw888BHef39rRPuvXLmMbds+xOMxy3DYbHZWP7CG7dv29mCrxd1MKiyJga6wsIiNG5vm8GVkFPXIecKV9Wi5Hv4TMyi8Ckygrm4RH34Yy7Rph3E6G5k9O5HCwjl4vRvZufNZZsxYzJw58zh4cAY+35vAQ8AxYA4JCSnk5fXcHMneeu6EEAOP9EgK0UGjRo2grKwscN/j8VB15zYxMZENk/V63YEgEsAwDNxuqYIjeo7MkRQDXW/N4QtX1iN4vTnHMQYziBwGrABuU1v7Ozyev2TBgtWUlh6zMrWOAZ6hqqoK0Cxffh64DfwL8AFQitaNPdoDKPMfhRCdJYGkEB0UqnfH5/NFPN8x1DBYm00GB4ieI3UkxUDXlTl84eY9tnw8KWkEZWV7iIvbQErKJDIzD5GXtwkwy31kZZUA04H3gFvAVGA/8G/Y7ddITs4gK6uEvLxNVgBqDl2FDcAiSkuPkZ+/mVWr7mmzBmV3k/mPQojOkkBSiA6qqqpp9u2wUoqhQ4fT0BBZMoQ7d2oYN25c4P6oUaOor/e0sYcQQoi2dGUOX7h5jy0fh6l8+tNVnDzp48knNUOHegLn8SfOmTZtMlAKDAHuA2w4HBtYvnwlVVUu8vM3k5qaSl7eJlJS/ohZM/IwdvuMQMDoD0qDA8+eJPMfhRCdJd0gol0dydjqz4JqaHeXzjlkyGAWpM/D5/XR2NjA/v2HunS8YO1lam3vGoqKjrJkSSZz5sxBa4iNiWfXroMRZ4AtKjrKvHlzmDZtGgA11W4KDx7twBUIETnJvCpE28LNe2z5uNP5XzzzjA47l9DlcpGUlALEolQjiYlvAHlkZCxqFQympqZy6tQBcnPXUVRUSHp6TGAbf1AqhBB9nfRIij5n8OBBZGSkk799L7t3HeDUyfM8sPreZttEs2wHwP79hezYUcCunYVs3bqL+vr6Du1/9Ggp+fl7yc/fS1HRsR5qpRCABkPrLi1CdLfeKtcRiXDzHps//gI22xyefVZRXg4vvNA0l7Cmpobnn3+eRx/9EseOrQDOYrc/RUbGfMrKzC8Jp0+f32rYbHD5D39PpRBC9CcSSIo+Z0H6PLZv2x24X1VVzZ3KapKTk6LYKiH6L93Ff0J0t94q1xGJ9oaS5uVtIiHhNWprS9m4MYVp05z89rfJbNqUx7Vr17jnnnv49re/zaFD+6yMrf6ezcKgYbPvs3PnWcaOnR5yHqYQQvRHEkiKPkcbrT+43rxxiyFDBvd+Y4QQQnS7wsIi1q9vKjlRWFgUtba07BkEwtR43Elt7XLq6wdz7RqcOnWKZcuWceLECd58800yM5e16tk0h8WuB74DPILPdyLkPEwhhOiPJJAUfU5tbU2roHHqtElcunQlOg0Sop/TXVzEwFZcfLjXh5f25ZIToZLvmMNdH8NMjlOEYazm/vsfoL6+nh07dpCTkxOyZ7Np2OxBwCz34e+tFEKI/k4CSdHnFBYWMz99NosWL2Dy5Anc/8BKzp49J0XVhegEjcbo4iIGtjlzjF4fXtqXS0409SI2BX15eZuw28vxB4PwGIah2bt3L4sWLQJCz3n0B5c2mxd4DrPcx7MoFSvDW4UQ/Z4EkqJP2vZhPiUlx2l017N163bOnj0f7SYJ0W9prbu0iIHN6ez94aV9reREcPKf5GQPdvv3CR6impqaSlbWCuz2Z6z1e1m+fDWTJ09udZyWw2Lz8zdTXJzPoEEvEh8/loSEX2IYjUybNjbqiYaEEKIrJJAUfVZtbS2XL5fLB1khhOhBHk/fG17a24KT/3z2s9Wkpv6u2RBVn8/HrFnj8PleIT4+jaysEr73vb9j0KAJKJXIoEETOHbsWNialM888xRf+pKbsjIYN66aL3/5OidP+qKeaEgIIbpC6kgKIcQAJ1/FiLaUltoYO7ZvDS/tCS6XK1C3cc6cuYCitPQo6emZnDhxmI0bzeQ/3/yml5df9lJVdQuA+vp6cnNzef3111m/fj3PP/88NpuNQYMmUFX1KPAtqqqeZ8WKHLRubFWT0uVysXPnHjZuhDFj4PZteOYZwtajFEKI/kJ6JIUQYgDTIHMkRZsWLMjoE8NLu0vL4aX+oaPBvYX79l1h3755VFcfZufOmdTXN/DcczRL/uNyucjKWk1SUgqvv/463/ve93jhhRew2cyPTlVVN4FvYc6Z/BZVVTdD1qQ0eyVH8eyzdsrLYcgQWp1LCCH6IwkkhRBigJM6kmIgCp7XGDzXMNzw0uAkOnALeNq6/TQ1NYPYuHEsM2faA8l/cnPXsX9/LIZhB8bwz//8bLPANCVlGPA8ZgKd50lJGRYyc2tRUSE1NW+zceNypk1LorzcwdGjS/tkoiEhhOgICSSFEEII0SHhgrjeFDyvMXiuYaisq0Cz3kIYSlMW1ReAJdTU7EepYWzenE9SUhJFRYUYxs+BLOCzrWpA7t69mZSU3wPTsdt/jddbS27uOvLyNjXL3Gqe97+prf0dHs9fkpHxET74YG+fSTQkhBCdJYGkEEIMcNIjKbpbuCCuNxUWFrF+vTcw19CfdTbU8FKAF198loSEV4HpJCXVsHDhQez2WcBbwP8NbPvmm28yefJkpk6dZh2nhFA1IOfOncudOxdZteoelFpHXd1RCgrSWLv2c82G1r744rOteimFEGIgkEBSCCEGNKkjKbpfuCCuN2VmprNhg6PVXMNQw0sBnnrqGerqHgNO09DwWRITk7ly5TSrVk0hOflBsrJKePjhe/jkJz/JxIkTefnl/2pVAzI4MPVr2QN64MDhZkNrn3rqmVb1JYUQYiCQQFIIIQYwDWilu7QI0VK4IK43bdqUR0lJVqu5hqmpqSEDt1BDXv3bVlZeZcWKBXz7298mJyeH7du3M3fuXPLzN1NefpxVq06G7VFs2QOqlDfk0FohhBhoJJAUQgghRIeEC+J6U2pqKps350c81zDckFeAX//61/zgBz9g1KjxfPhhAWPGzCY5eSTZ2TkAbfYotuwBXbRoSdjzCCHEQCKBpBBCDHAytFV0t44GcdESXArE7W4kM/MwSUnpJCS8yqFDBwJZWB9//HFmzUqnouLT1NWlU1X1KDU1Rc2S64TTsgf0jTdekTmRQoi7ggSSQggxwEmyHXE3CJVJdu3az7Nz50yrduR8ADIyFlFX9xi1tZvZteska9d+FofDwZUr5fh83wSO4q8P2ZmhqeGG1gohxEAjgaQQQgxwPR1IKqXGK6W2KaVKlVIlSqlvWOuHKqW2KKVOWz+HWOuVUupHSqkypdQRpdTCoGM9YW1/Win1RI89KX1Mf3gO+0LJj7aEyiR78OB+gutFHjiwjz17duH1Pgh8Aq0rOHq0CAge+joPf31I/9DU4J7N7Owcjh071ux+X3suhBCiN0ggKYQQoqu8wN9qrecAy4CvKaXmAN8GtmqtpwNbrfsADwHTreVJ4GdgBk3APwFLgSXAP/kDp7tAn38O+0LJj7aEyiSrtQOzTqRZL9IwbPh8g4BHMFNRrSUzcxnQNNcxMbGYlJTfk5i4IDAEdsaMxRQUzAlkYl2xIqdZZtb2hr8KIcRAJIGkEEIMYFppDGV0aWn3HFpf1Vofsm5XA8eBscBa4FfWZr8CPmHdXgv8Wpv2AoOVUqOBjwJbtNa3tNa3gS3Amm58Ovqs/vAcdqbkR1d6MYP3Xb16GcuWPdCsB7BlL+G8eXNaZZJdvDgDs05kuvXTC1wDYoA64I+43W5cLldgSGpNTQWnTh1g0CAfHo8LmEpVVSVeb1Mtyaqqm5KZVQhx15NAUgghBrhuSLYzXCl1MGh5Mty5lFKTgAxgH5Cqtb5qPXQN8E8WGwtcCtrtsrUu3Pq7Sm88h0qpJ/2vZ0VFRUTt6kzJj670YgbvO2/ePkpKTjbrAczNXdesV7CmJrFVJtk33viNVSdSsWrVFDIzM1EqDcgE/hw4TWFhOjNmLG4WpK5bl0tu7m3Kytx85SuFJCbagGfxD3dNSRkmmVmFEHc9CSSFEEK054bWelHQ8lKojZRSScAfgL/RWlcFP6a11iCZe9rTW8+h1vol/+tZXn45ot7CzpT86EwvZqh9n34afL5y4Ct4vY9TVFTYqi5kaemxVplkU1NT2br1Df7xH59my5bXefvtPFauHAMcoCmhzjepqqpqFqQWFhbxzDMwZgw884wXw6gjJeWPgUysu3dvlsysQoi7ngSSQggxwHWtP7L9oa0ASiknZgD0itb6j9ZqlzXcEuvndWv9FWB80O7jrHXh1t8VovUczpljRNRb2JmSH53pxQy177PPKmy2JcAc4DHS0zPbrAvpV1NTw8c//nGefvpp3nzzTVJTU8nL20RKyjD8PYzmz0UED1PNzEznhRf854YhQ5I4depAIBPr3LlzJTOrEOKuJ4GkEEIMYGbe1Z4NJJVSCvgFcFxr/ULQQ28C/qyhTwBvBK3/opV5dBlwxxq++R7woFJqiJUg5kFr3YAXzefQ6ex4byFENv+xM72Yfs8++yK/+U0y06bBxo0p1NZuBL6J3V5OXt6mQHKccL2C165dY8WKFbz77nvExibz4x9vwuVykZu7jtraR4BjwBzs9v/Gbp9BcEC6aVMepaVmu0+dWsWhQ8clWBRCiBYc0W6AEEKInmWoHh9RugL4AnBUKVVkrfvfwA+A15RSXwYuAJ+2HtsM5ABlmBlP1gForW8ppb6HOe4Q4F+11rd6uvF9RNSeQ4+n472F0DSHceNGLxs2mD2amzfnN9vG34vZGU899QzXr3/ZGr76PPA3wDy0drB27ecARWnpUdLTMwNBZHZ2DkVFhcyYMROX6xzl5Vex2T5JY+OPKSjYQG7uOoqKCvH5NmKWBCknPj6djIzzFBVlBI7VlXYLIcTdQplTLvoHpezaZkuKdjNEG2wqBgBDu9vdxs+/bcv17WnrHG0Jdf5Q547k+B1tc6jj2lQMNuVstZ3d1vaxg/ex22KxKydxthTzPq2P5+fD0+42kXISG/axIcZwhpHIpMSun+du8vOKHxVqrRd11/GGJI/S92V8oUvHeH3n893aJtG32O1Kjx2bwubNu5k7d27E+6WmpnD4cDVjxkB5OWRkJONyVbW/Y4RSUlKprj6MP+CDacAE4FXgMcwKKE8Dz5KS8kdmz57OwYMz8flOAfuw2RqIjU2ivr4kcIzkZDNYLChIw+tdj8OxgaysEvLzN3dbu4UQYiBRSoX9DBCVoa1Kqe9ZBZSLlFLvK6XGRKMdQghxN+iNOZKi/5o7Fx57rI5nnnmqQ/t1Zf5jJObMmQc8hxlEPofNFgd8CCwAbgFfIjHxM8TH/wKfr5z9+wvx+Q5iltZcimEk4Hbbsdu/T/Cw1faGxAohhIhMtOZIPqe1nq+1Tscs7PSPUWqHEEIMaL0xR1L0b52dI9mV+Y+R0cA7mDUg3yEhIT6QXAeGkpiYw1e+soeyshq+/GUfTmcV5ojeD4B5wHF8vsfR+lVgOgkJr/Lii88G6kVWVbnIy9tEbu66ZqU/hBBCRCYqgWSLlOaJSEp4IYToMUYX/4mBrbNzJIOzuG7alMe6dbltJt7pqNLSY5g9kNeBD9HaHehJXLp0LIZxlWee8ZGaCrW14HZrzN7IK5hDXscAz2AYjUAWVVVVrFjRPFhsWYsyN3ddl9sthBB3i6hlbVVK/R+l1CXg87TRIxlcNFniTSGEEKJ7lZbautyj6E+8c/hwdUSlRNrizwar9U2SkpYAxTgcG1i4cHGgJ3Hv3q0sX76E//t/4WMfg1/8AhyOUZiBpxN4AbPn8gXMvILzgFKqqv6MtWs/HzhXy1qURUWFnW63EELcbXoskFRKfaCUOhZiWQugtf6u1no88Arw9XDHCS6aDKqnmiuEEAOW7uI/MbAtWJARcV3IcAoLi1i/3suYMeYw2e3bd3VqqKjL5WLhwtnMmLGTkyd9fOUrV0hJWURCwqscPnyw2TFfeeUN9u+fxzvvQEzMILzed4H/zzrS/2AOif0fwE1wD+XBg/sD54ukFmVXRFIiRQgh+qseCyS11qu11nNDLG+02PQV4FM91Q4hhLi7aTS+Li1iYCsuPtzlICc48c6zzypstiWdGiqam7uO27dreeYZGDMGnn4aDENTV/cYNTVFgWPW1dWRmprKvn1H2L9/P0uXLsduX4U5p/J1zC+ea4FUWvZQat1U+aynE+90Z0+tEEL0NVGpI6mUmq61Pm3dXQuciEY7hBBioNOAIb2Kog1z5hiBIKeztRP9cySnTduFzbaE2to3AB9FRRkdOk5RUSE2WwbPPlvIM894efZZAN1s+Glh4VymTJnCuHHDuXTpIvPmzcHtTsTn8wHjgDTgQ+z2WSi1FK9XY+b1+zUwlMWLm9rkT7zTUwoLi9i4samnNiOjqMfOJYQQvS1acyR/YA1zPQI8CHwjSu0QQggh7mqdzdoaLDU1lU2b8nA6x1FbewL4PHb79zs8VDQ9PZOGhoVs3JjItGlONm5cSk3NZPxlQGy2r9PQcIeqqjssWHCCw4ermTdvHyUlJ4HTwHzg8zgcG1i0aAlZWSUkJp4gJaWOpCRYtWoKb7zxm05fZ0f1dIkUIYSIpqj0SGqtZSirEEL0CrNPUohwOpu1tSVzyOmngW8Cz5KY+Efy8g506Bh5eZtYu/ZzHDtWDSQAMcBL2GyP4nRupLGxhgULFnDlShnf+15DYPjrf/3XHcw5kN8CppOVFUNe3itdmvfZHfw9tRkZRWRmpvdAiRQhhIieqGVtFUII0Tuk/IdoS3dkbQV/BtRv4k9qo3VjhwO51NRUhg718NWvGpSV1fCVr+whKemLpKVNp7GxhkceeYTdu3ezePHCQE/fc8+B3T4If8KcVavuIT9/c9SDSP/1+EukdDWhkRBC9DUSSAohxACnMbq0iIGtK1lbXS4X2dk5pKSkolQsdvv36WoG1MLCIp5+2ky288wzPuAa77//Br/5zW94/fXXSUxMZNOmPEpKssjISObo0aWkpc3ssYQ5QgghQpNAUgghhBCdkpu7joKCNKqrD1NX92kSE99qFtAFB5qRlgPxzys8fhzuvVeRnr6AUaNG8dnPfhaHw5yR45+TOXPmSvbvP0dMTCynTx/pMz2RQghxN5BAUgghBjCNRmujS4sQ4ZjDWf0ZVb+J1o1UVbkCAV1woBlpOZBnn32Rl19OJC0NTp/WrF798ZDBaGeOLYQQovtIICmEEAOcDG0VPSU9PROHYwPhhrM2DzTXU1RU2O4xv/jFv8Tl8qF1Mjbbx/je937Mzp17qK6ex549kwIBY2eOLYQQovtIICmEEAOalkBS9Ji8vE1kZZWEnZ8YHGjCc9TWetoc4nr48GEOH94DJANvYhiH8PkeB0qBufh8b3Lo0IFWx+7KnEwhhBCdI4GkEEIIITolNTWV/PzNzYazBs+LdLvdzJ+/F5gNvIRhaHbuPMXatZ8LebzZs2czatQ47PaPA/8A1AC/Ab4CrANqsNvjATOIzcw8hM02F63/C7fbHdEczEi4XC5ycrJJTU0hJye7244rhBADiQSSQggxkGkwtNGlRYiOWLv2cxw+fASvt46SkhOcOnUWMwg8DXwZcHDgwOHA9lprfvrTn3L79m3i4uIoKjrA8uUXgSPWfkXAHODTwCIMowEwg9iYmFhsti/j852gsDCj2+ZJrluXS1paAYcPV5OWVsC6dbndclwhhBhIJJAUQogBz+jiIkR4LTOzHj+ez5e/fI2yshq+/OVraH0NeAazvuQXgOsYRgPZ2TlcvnyZr371q3z961/npZdeApp6Oe12DTxt7fdN4DJ2+wwyMhYFzt1T8yQLC4tYv97LmDGwfr2XwsKibjmuEEIMJBJICiHEACZZW0VPa5k91ePx8cwzvkAdSMMwgGcx50k+BjwBlLF791imTZvML37xC6ZOHc8TTzzR7LiLFi0BnsM/v9Jmi2H58vPN5mH21DxJfwmS8nLYsMFBZmZ6txxXCCEGEgkkhRBCCNFpLXsFnU47zz4L5eXw7LNgt48EjmEOT72E2ctoA36D2+3l2Wfhk5+8yp//+aebHfeNN15h1aqTJCdnsGrVScrLT7SqE9lesp/O2rQpj5KSLDIykikpyWLTprxuOa4QQgwkjmg3QAghRM8yZHiq6AEul4vc3HXU1dUD9wOv4nD8N4Yxkl/8QvHSS3ew2VKorZ0CfAAUA/di9k4+gdb1/OpX8IUvQHm5l2nTdpGdnUNe3iZSU1MDQ1zbEsk2nZGamsrmzfndflwhhBhIpEdSCCEGPN3FRYjW/ENafb4TwEPYbPeRlVUCeKip2U99fTW1tQeAozQNa70fM4nOfSQnOygudlg9lwqbbQkFBWndljBHCCFEz5JAUggxYE2+dxKJQxOj3QwhBhR/cp2dO3fg9R4G7MDTJCY6yc/fTFrafILnNiYlJZGcnIHNdgF4C7gHKMXnG0RpaRbTpik2blxCbe0b3ZowRwghRM+SQFIIMWBdq79J8vTkaDcjyjQaX5cWcXdqmY3VX0vR3xNplvOYD3y+RaIbDbwDpAPvMGfODP75n//OKtsxAvgUDscGFi5czObN+SxatIbGxlWAr1sT5gghhOhZMkdSCDGgjMsYS2OcB8NnUHztFOOHj2Lo4uEkD0rkVvFNqitqot3EXqe1DE8VHecPGL3ejRQUbCA3dx35+Zut5DobMctyfAuYTlZWTCDRTWnpMeCw9fglDh+eyf7923jkkUe4fdvNkSMPkJ6eGdg+L28TubnrKCrKaLZeCCFE3yaBpBBiQLlWco3hy1PZemg3V6+6KOEUizLmM9s7+e4MItFoSbYjOiE4YPR613Po0AKys3Oora0D7gNeA/4fS5dmNUt4k56eSUHBBrze9djt/4TP52b9+vU8//zz2GytB0L1VMIcIYQQPUuGtgohBhSv28e17eUsn5eBUgqA9NQZXD/sinLLhOhfWtZotNvjKShIwzBOAjmYweTblJQcbzb8NS9vE0uWHCE5OYPly69RULCHF154oVUQ6XK5yMnJJjU1hZyc7MDQWSGEEP2DBJJCiAEnNjEWIwG+lPNnfDrnYaptDdFuUlRpbXRpEXcnf43GpKR0EhJeparqZqBepFkL0glMoKYml+rqw4GMqzU1NVRUnOP5579Hfv5mJk6cGHKu5bp1uaSlFXD4cDVpaQWsW5cbxasVQgjRURJICiEGnEHjUkgqd1K+/QpV+bcYO3gkyqai3awo0aCNri3iruQfcpqWNo+qqgQglqZsrM8D84CDwDP4h78WFu4lKyuLmzdvMnfuXKBprmVwsAlQWFjE+vVexoyB9eu9FBYWReEqhRBCdJYEkkKIAef6yQqul1QAZqKZkjdK0cbdm3BGd/GfuLsdOHAYeATYhpmNdTopKb8nMbGYlJQUHI4XgHJstq/T0HCH+Ph40tIm88lPriEnJ5tDhw4EejKDy3tkZqazYYNZR3LDBgeZmenRukQhhBCdIIGkEEIIIcJSygt8AfgOcANwYhgNLFy4mN27N5OVVUpi4jwM40/MmzePadNGs3RpcWDI6qBBvmZzLf3lPTZtyqOkJIuMjGRKSrLYtCkvehcphBCiwySQFEKIgUzLHEnRtsLCwwwaNIFjx46FrB25aNES4NPAHMzakH9OTU0RBQVpPPXUM+Tnb6am5iZ5ea+xe/dujh0rbTZk1ePxkJVVQnJyBllZJYHyHqmpqWzenI/LVcXmzfmkpqZG70kQQgjRYRJICiHEgGaW/+jKIga6uVRVPcqKFTkh5zO+8cYr2O1XgW8CxcARIAOvt5CCgg/Jz8/H5XLxox/9ktGjp+BwOHjhhaYhq4sWZZCfv5mqKhf5+ZslYBRCiAFCAkkhhBjANEggKdpRChyhquqGVTuy+XzG1NRUli9faQ1PjQXmA9uBMrzeRg4dOtQsAHW5PsNvf5ssQ1aFEGKAk0BSCCGEuKvNAeZjtye0qh3pn8/oLwUCt4HPArnANWJjk/mbv/mbZgGoz/f3VFc7ZciqEEIMcBJICiHEgGd0cREDmxP4FrGxTQFjqPmM+fmbWbJkCXA/cBGb7ZMsWbISIGwAKoQQYuByRLsBQgghepIGLSU8RFs8wHPYbHGBgDGcP/3pNyxalEVlZTWZmdWBQDMvbxO5uesoKsogPT0zsF4IIcTAJYGkEEIMcDLPUbTtGHCBmhqNy+UKORT1t7/9LcuXL2fixIlcuXK+1ePtBaBCCCEGHhnaKoQQQtzVRmAm3FlHbu66Zo9orfn+97/P5z73OX7wgx9EpXVCCCH6JumRFEKIAU+Gtoq2pAJjgGcoKsoIrPV4PDz11FNs3LiRL37xi/zwhz+MWguFEEL0PRJICiHEgKZBy9BW0ZZrQDnwbCBJTk1NDZ/+9Kd55513+Pu//3v+9V//FaVUVFsphBCib5FAUgghBjgtPZKiTfWYJUAUeXknAHNI640bN3jppZf46le/GtXWCSGE6JskkBRCCCHuajXY7UP54IPfc+fOHZKSkkhOTmbPnj04HPIxQQghRGiSbEcIIQY8qSMpwsvMXIjXewO73c6yZcv467/+a4BuCyJdLhc5OdmkpqaQk5ONy+XqluMKIYSIrqgGkkqpv1VKaaXU8Gi2QwghBjStu7ZEQCm1Ril1UilVppT6dg9fkWhHR1+P1157jdWrVzNy5Ej+4R/+oVvbsm5dLmlpBRw+XE1aWgHr1uV26/GFEEJER9QCSaXUeOBB4GK02iCEEAOf7vK/9iil7MBPgYcwJ9t9Vik1p4cvTITR0dfD5XLx2GOPsWTJEvbs2cPkyZO7tT2FhUWsX+9lzBhYv95LYWFRtx5fCCFEdESzR3ID8AySl14IIfq7JUCZ1vqs1toN/A5YG+U23c069Hpcu3aNRx99lC1btjB06NBub0xmZjobNjgoL4cNGxxkZqZ3+zmEEEL0PqUjHLbUrSdVai1wv9b6G0qp88AirfWNMNs+CTxp3Z0LHOudVnbYcCDkNfQRfbl90rbO68vt68ttg77bvola6xHddTCl1LuY19oVcUBD0P2XtNYvBZ3jUWCN1vor1v0vAEu11l/v4nlFJ0TyevTye6vDZmOq1iQoRZ1hcAbw9uD5ItFX///3FLnege9uu+a77Xohetcc9nNJj6VjU0p9AIwK8dB3gf+NOay1XdaHlZesYx7UWi/qtkZ2o77cNujb7ZO2dV5fbl9fbhv0/fZ1F631mmi3QfQ9/eW9tafcbdcs1zvw3W3XfLddL/TNa+6xQFJrvTrUeqXUPGAyUGwVNx4HHFJKLdFaX+up9gghhOgxV4DxQffHWetEdMjrIYQQosf1eoEorfVRYKT/fntDW4UQQvR5B4DpSqnJmAHLZ4DPRbdJdzV5PYQQQvS4/lZp+KX2N4mavtw26Nvtk7Z1Xl9uX19uG/T99vUbWmuvUurrwHuAHfil1rokys26a3Xi9bgb/y/cbdcs1zvw3W3XfLddL/TBa45Ksh0hhBBCCCGEEP1XNMt/CCGEEEIIIYTohySQFEIIIYQQQgjRIf02kFRK/a1SSiululofrdsopb6nlDqilCpSSr2vlBoT7Tb5KaWeU0qdsNr3ulJqcLTbFEwplauUKlFKGUqpPpHaWCm1Ril1UilVppT6drTbE0wp9Uul1HWlVJ+rq6qUGq+U2qaUKrVe029Eu01+Sqk4pdR+pVSx1bZ/iXabhIimvvx3riPC/d1RSg1VSm1RSp22fg6x1iul1I+s6z6ilFoYdKwnrO1PK6WeiNY1RUIpZVdKHVZKvWXdn6yU2mdd16tKqRhrfax1v8x6fFLQMb5jrT+plPpolC4lIkqpwUqp31ufZ44rpbIG8muslFpv/T4fU0r91noPG1CvcajPM935miqlMpVSR619fqSUWTIiWsJcb9jP6OFeu3B/u8P9fvQYrXW/WzDTmr8HXACGR7s9Qe1KCbr9v4D/jHabgtrzIOCwbv878O/RblOL9s0GZgLbMbP4Rrs9duAMMAWIAYqBOdFuV1D7soGFwLFotyVE20YDC63bycCpvvLcAQpIsm47gX3Asmi3SxZZorH09b9zHbyWkH93gGeBb1vrv+1/7wNygHesvwnLgH3W+qHAWevnEOv2kGhfXxvX/U3gN8Bb1v3XgM9Yt/8T+Cvr9lP+zySYWXxftW7PsV73WMzSbGcAe7Svq43r/RXwFet2DDB4oL7GwFjgHBAf9Np+aaC9xqE+z3Tnawrst7ZV1r4P9cHrDfkZPdxrRxt/u8P9fvTU0l97JDcAzwB9KlOQ1roq6G4ifah9Wuv3tdZe6+5ezLpifYbW+rjW+mS02xFkCVCmtT6rtXYDvwPWRrlNAVrrfOBWtNsRitb6qtb6kHW7GjiO+YYYddpUY911Wkuf+X8qRC/r03/nOqKNvztrMYMPrJ+fsG6vBX5t/U3YCwxWSo0GPgps0Vrf0lrfBrYAa3rvSiKnlBoHPAxstO4r4H7g99YmLa/X/zz8HnjA2n4t8DutdaPW+hxQhvl70ecopQZhfgj/BYDW2q21rmQAv8aY1RXilVIOIAG4ygB7jcN8numW19R6LEVrvVebkdWvg44VFaGut43P6OFeu5B/u9v5G9Aj+l0gqZRaC1zRWhdHuy2hKKX+j1LqEvB54B+j3Z4w/hzzWxkR3ljgUtD9y/SRYKg/sYbWZGD2/PUJ1lCwIuA65htPn2mbEL1sQP6da/F3J1VrfdV66BqQat0Od+396Tn5D8wv1Q3r/jCgMugDaXDbA9dlPX7H2r4/Xe9koALYpMzhvBuVUokM0NdYa30FeB64iBlA3gEKGdivsV93vaZjNKH9yAAACnBJREFUrdst1/dlwZ/RO3q9bf0N6BF9MpBUSn1gjQdvuawF/jdRDNDaaRta6+9qrccDrwBf70tts7b5LuC12terImmfGDiUUknAH4C/adFbH1Vaa5/WOh3zG78lSqm5UW6SEKKbtPV3x+qRGBAjEJRSjwDXtdaF0W5LL3JgDgn8mdY6A6jFHPYYMMBe4yGYPVKTgTGYI936as9pjxlIr2l7ovkZvbMc0W5AKFrr1aHWK6XmYf6HKrbmyo4DDimllmitr0WzbSG8AmwG/qkHm9NMe21TSn0JeAR4wPqP2as68Nz1BVcw5+L6jbPWiQgopZyYH+Ze0Vr/MdrtCUVrXamU2ob5xtznkhYJ0QsG1N+5MH93XEqp0Vrrq9Ywt+vW+nDXfgW4t8X67T3Z7k5aAXxcKZUDxAEpwA8xh/o5rB6J4NfTf72XrWGSg4Cb9K/fgcvA5aBRJL/HDCQH6mu8Gjinta4AUEr9EfN1H8ivsV93vaZXaD6Vq89ee5jP6G29dqHW3yT870eP6JM9kuForY9qrUdqrSdprSdh/lFZ2FtBZHuUUtOD7q4FTkSrLS0ppdZgDoH5uNa6Ltrt6QcOANOt7FcxmBPX34xym/oFa4z+L4DjWusXot2eYEqpEf5saEqpeOAj9KH/p0L0sgHzd66NvztvAv4Mjk8AbwSt/6IyLQPuWEPp3gMeVEoNsXqEHrTW9Sla6+9orcdZn4U+A3yotf48sA141Nqs5fX6n4dHre21tf4zysz4ORmYjpmcpM+xPutdUkrNtFY9AJQyQF9jzCGty5RSCdbvt/96B+xrHKRbXlPrsSql1DLrOfxi0LH6jDY+o4d77UL+7bZe73C/Hz1D94GMTZ1dgPP0raytf8Ds2TgC/A8wNtptCmpbGeZ46iJr6TMZZa32fRLzi4FGwIX5ByDabcrBzPx3BvhutNvTom2/xZwz4bGety9Hu01BbVuJOQzlSNDvW06022W1bT5w2GrbMeAfo90mWWSJ5tKX/8518DpC/t3BnDO0FTgNfAAMtbZXwE+t6z5KULZwzDlKZdayLtrXFsG130tT1tYpmB80y4A8INZaH2fdL7MenxK0/3et5+EkUc5oGcG1pgMHrdf5T5gZOgfsawz8C+aXnceAlzGzdw6o1zjU55nufE2BRdbzdwb4CaD64PWG/Ywe7rUjzN/ucL8fPbUo66RCCCGEEEIIIURE+tXQViGEEEIIIYQQ0SeBpBBCCCGEEEKIDpFAUgghhBBCCCFEh0ggKYQQQgghhBCiQySQFEIIIYQQQgjRIRJICmFRSm1XSp1UShUrpXYH1aoSQggh+j2llE8pVaSUOqaUylNKJXThWP9PKfWodXujUmpOG9veq5Ra3olznFdKDQ+z/qhS6ohS6n2l1KiOHjvoWIHr6MS+/7vF/T2dbUeIY/+HUirbur1dKXXRqoXof/xPSqmaoPszlFKblVKnlVKHlFKvKaVSref+jvW6FymlPrC2/2el1JWg34ePh1h/Win1x+DXVin1uxZ108VdTAJJIZr7vNZ6AfAr4LlIdlBKOXq2SUIIIUS3qNdap2ut5wJu4C+DH+zs+5nW+ita69I2NrkX6HAg2Y77tNbzMetKtgzolFKqNz7jNjuv1rpbrlEpNQxYprXOD1pdCaywHh8MjA7aPg54G/iZ1nq61noh8CIwwtpkp/W6p2utVwcdc4PWOh3IBX4Z9JxtsLadDrwKfKiU8h/rZ8Az3XGdov+TQFLclZRSiUqpt63ex2NKqcdabJIPTLPejJ6ztjnq3876hm+nUupNoK03TyGEEKIv2on5Ptfs/UwpZbfe9w5YPX5/AYHg7CfWyJ0PgJH+A1k9Zous22usHrFipdRWpdQkzIB1vdXLtUopNUIp9QfrHAeUUv4AaZjVw1iilNqIWYC+Pf7360lW236NWYB+fJj377auI9ADqpRapJTabt1OUkptCuoF/ZRS6gdAvHVNr1jb1QSdI9xnh+1Kqd8rpU4opV5RSoW6xk8B77ZY9zvgM9btPwP+GPTY54ACrfX/+FdorbdrrY9F8PyhtT4OeIFWvb9a61eB961zgPl7s1q+RBcA8ksg7lZrgHKt9cMASqlBwF8FPf4x4CjmH+t0YAHmH9gDSin/N4QLgbla63O91WghhBCiq6wg4CGagpXA+5lS6kngjtZ6sVIqFtitlHofyABmAnOAVMwvUX/Z4rgjgJ8D2daxhmqtbyml/hOo0Vo/b233G8xer11KqQnAe8Bs4J+AXVrrf1VKPQx8OYLLeQTz/RpgOvCE1nqvUupThH7/zmrvOkL4B+s5mWe1f4jW+g9Kqa9bPXottfXZIQNIA8qB3Zi9jLta7L8C+H2LdVuBnyul7JgB5ZNWuwDmAoVttH+VUqrIup2ntf4/wQ8qpZYCBlARZv9DwCwArbWhlCqzrq2tc4q7gASS4m51FPj/lFL/Dryltd5pfSn4ilKqHjgP/DXwTeC3Wmsf4FJK7QAWA1XAfgkihRBC9CPxQQHFTuAXmENOg9/PHgTmq6Z5g4MwA7Rsmt4Py5VSH4Y4/jIg338srfWtMO1YDcwJ6oxLUUolWef4M2vft5VSt9u4lm1KKR9wBPh7YDBwQWu913p8JaHfvyO5jlDt9fcGorVuq11tndv/2eEygPVaTKJ1IDma1kGdz9ruM0C81vp86M7MkHZqrR8JsX69UupxoBp4TGutwxyz5crrwBgkkLzrSSAp7kpa61NKqYVADvB9pdRW66HPa60P+rdr5490bQ82UQghhOhu9S170Kz3ueD3MwX8tdb6vRbb5XRjO2yYcwAbQrQlUvdprW8E7TuYrr8ve2ma9hXXxWOF0xh020foz+L1Yc7/O+B14J9brC8B7ulEWzb4e4nbkYE5F9UvzmqjuMvJHElxV1JKjQHqtNb/jZlUZ2GYTXcCj1lzRkZgfpO5v5eaKYQQQvS294C/Uko5IZANNBFzLqL//XA0cF+IffcC2Uqpyda+Q6311UBy0HbvY476wdou3bqZjzUXTyn1EDCkC9cR7v27res4D2Ratz8VtH4L8LWg9vrb5fE/TxGeO1LHgWlhjvt/gd+2WP8bYLk1HNjfxmyl1NwOnDMka4jwgy3OOQNzHqq4y0kgKe5W84D91rCSfwK+H2a71zGHzRQDHwLPaK2v9UoLhRBCiN63EXPe4CGl1DHgvzB7zV4HTluP/RooaLmj1roCc+7eH5VSxZgZPwH+B/iklZhmFfC/gEVW4ppSmrLH/gtmIFqCOcT1YheuI9z7d1vX8S/AD5VSBzF7C/2+DwyxkucU0xR8vgQc8SfbieDckXobM9NtM9r0fHBPrLW+HnOu6F8rs2RHKfAU4ec8tme99VqdBh4H7rdeW5RSqZg92/JZSKC01tFugxBCCCGEEMKilNoFPKK1rox2W4IppdYDVVrrX0S7LSL6pEdSCCGEEEKIvuVvgQnRbkQIlZi1toWQHkkhhBBCCCGEEB0jPZJCCCGEEEIIITpEAkkhhBBCCCGEEB0igaQQQgjx/7dfxwIAAAAAg/ytx7C/LAIAFpEEAABgEUkAAACWAL35X2GCcBDrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor        # tree program from scikit learn (package for machine learning)\n",
    "\n",
    "max_depth = 10                                            # hyperparameters\n",
    "n_estimators = 1000\n",
    "max_features = 2\n",
    "\n",
    "forest = RandomForestRegressor(max_depth=max_depth, random_state=73073,n_estimators=n_estimators, max_features=max_features)\n",
    "\n",
    "forest_fit = forest.fit(X_train,y_train['Prod'])          # train the model with training data \n",
    "\n",
    "plt.subplot(121)\n",
    "visualize_model(forest_fit,X_train[\"sPor\"],X_test[\"sPor\"],-4,4,X_train[\"sBrittle\"],X_test[\"sBrittle\"],-4,4,y_train[\"Prod\"],y_test[\"Prod\"],prodmin,prodmax,'Training Data and Linear Regression')\n",
    "\n",
    "plt.subplot(122)\n",
    "cross_validation_plot(forest_fit,X_train,X_test,prodmin,prodmax,'Production','MCFPD','Random Forest')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Instantiate, Fit and Predict with Tree-based Gradient Boosting Regression\n",
    "\n",
    "Let's instantiate, fit and predict with a tree-based gradient boosting regression model.\n",
    "\n",
    "Trying Out Hyperparameters:\n",
    "\n",
    "* **loss** - the loss function, 'ls' for least squares, L2 norm solution\n",
    "* **max_depth** - maximum number of decision tree layers, low **max_depth** - low model complexity / flexibility for each additive model for less ability to capture feature interactions and slower learning \n",
    "* **learning_rate** - too fast and the solution may be unstable, diverge, and too slow and the solution make take too long\n",
    "\n",
    "Just change these lines of code below:\n",
    "\n",
    "```python\n",
    "params = {\n",
    "    'loss': 'ls',                                           # L2 Norm - least squares\n",
    "    'max_depth': 2,                                         # maximum depth of each tree\n",
    "    'learning_rate': 0.003,                                 # learning learning\n",
    "    'criterion': 'mse'                                      # individual tree loss\n",
    "}\n",
    "```\n",
    "\n",
    "Note, the above is a dictionary, a convenient Python class to flexibly store information, like the model hyperparameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.ensemble import GradientBoostingRegressor      # tree-based gradient boosting\n",
    "\n",
    "params = {\n",
    "    'loss': 'ls',                                           # L2 Norm - least squares\n",
    "    'max_depth': 2,                                         # maximum depth of each tree\n",
    "    'learning_rate': 0.003,                                 # constraint on magnitude of update with each estimator / for slow, robust learning\n",
    "    'criterion': 'mse'                                      # tree construction criteria is mean square error over training\n",
    "}\n",
    "\n",
    "gb = GradientBoostingRegressor(n_estimators=1000,**params)  # instantiate the prediction model\n",
    "gb_fit = gb.fit(X_train,y_train['Prod'])                    # train the model with the training data\n",
    "\n",
    "plt.subplot(121)\n",
    "visualize_model(gb_fit,X_train[\"sPor\"],X_test[\"sPor\"],-4,4,X_train[\"sBrittle\"],X_test[\"sBrittle\"],-4,4,y_train[\"Prod\"],y_test[\"Prod\"],prodmin,prodmax,'Training Data and Linear Regression')\n",
    "\n",
    "plt.subplot(122)\n",
    "cross_validation_plot(gb_fit,X_train,X_test,prodmin,prodmax,'Production','MCFPD','Gradient Boosting')\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=1.2, wspace=0.2, hspace=0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Summary\n",
    "\n",
    "Let's look at all the models together for a visual comparison."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 432x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import gridspec\n",
    "fig = plt.figure(constrained_layout=False)\n",
    "gs = gridspec.GridSpec(1,5, figure=fig) \n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[0]),linear_fit,X_train[\"sPor\"],-4,4,X_train[\"sBrittle\"],-4,4,y_train[\"Prod\"],prodmin,prodmax,'Multilinear Regression Model',legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[1]),neigh_fit,X_train[\"sPor\"],-4,4,X_train[\"sBrittle\"],-4,4,y_train[\"Prod\"],prodmin,prodmax,'k-nearest Neighbours Model',legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[2]),tree_fit,X_train[\"sPor\"],-4,4,X_train[\"sBrittle\"],-4,4,y_train[\"Prod\"],prodmin,prodmax,'Decision Tree Model',legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[3]),forest_fit,X_train[\"sPor\"],-4,4,X_train[\"sBrittle\"],-4,4,y_train[\"Prod\"],prodmin,prodmax,'Random Forest Model',legend=False)\n",
    "\n",
    "visualize_model_sub(plt.subplot(gs[4]),gb_fit,X_train[\"sPor\"],-4,4,X_train[\"sBrittle\"],-4,4,y_train[\"Prod\"],prodmin,prodmax,'Gradient Boosting Model',legend=False)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=5.8, top=1.2, wspace=0.15, hspace=0.2)\n",
    "\n",
    "fig.savefig('Multiple_ML_Models.jpg',dpi = 400, bbox_inches = 'tight')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Comments\n",
    "\n",
    "This is provided for an opportunity to try out a variety of machine learning models.\n",
    "\n",
    "* no effort was made to tune hyperparameters / test the models with withheld testing data\n",
    "\n",
    "* but, I hope this was an opportunity to quickly try out a variety of machine learning models\n",
    "\n",
    "I hope this was helpful,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "On twitter I'm the @GeostatsGuy.\n",
    "\n",
    "\n",
    "***\n",
    "\n",
    "#### More on Michael Pyrcz and the Texas Center for Geostatistics:\n",
    "\n",
    "### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "*Novel Data Analytics, Geostatistics and Machine Learning Subsurface Solutions*\n",
    "\n",
    "With over 17 years of experience in subsurface consulting, research and development, Michael has returned to academia driven by his passion for teaching and enthusiasm for enhancing engineers' and geoscientists' impact in subsurface resource development. \n",
    "\n",
    "For more about Michael check out these links:\n",
    "\n",
    "#### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n",
    "\n",
    "#### Want to Work Together?\n",
    "\n",
    "I hope this content is helpful to those that want to learn more about subsurface modeling, data analytics and machine learning. Students and working professionals are welcome to participate.\n",
    "\n",
    "* Want to invite me to visit your company for training, mentoring, project review, workflow design and / or consulting? I'd be happy to drop by and work with you! \n",
    "\n",
    "* Interested in partnering, supporting my graduate student research or my Subsurface Data Analytics and Machine Learning consortium (co-PIs including Profs. Foster, Torres-Verdin and van Oort)? My research combines data analytics, stochastic modeling and machine learning theory with practice to develop novel methods and workflows to add value. We are solving challenging subsurface problems!\n",
    "\n",
    "* I can be reached at mpyrcz@austin.utexas.edu.\n",
    "\n",
    "I'm always happy to discuss,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "\n",
    "#### More Resources Available at: [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n"
   ]
  }
 ],
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